Release v0.4.0 — VAD smart command end (parity with Python v0.2.0)

Adds webrtc-vad-driven listening window for the post-wake-word phase.
State machine in jarvis-core::audio_processing::vad::listen_window;
adapter in vad::webrtc; integrated in app.rs::recognize_command and
stt::vosk::finalize_speech. Same parameters as Python v0.2.0
(aggressiveness 2, end-silence 1200ms, min-speech 500ms,
min-listen 1000ms, hard-cap 15000ms).

.gitignore

@@ -7,12 +7,8 @@ yarn-error.log*
 pnpm-debug.log*
 lerna-debug.log*
 
-node_modules
-dist
-dist-ssr
-*.local
-
 # Editor directories and files
+.vscode
 .vscode/*
 !.vscode/extensions.json
 .idea
@@ -24,5 +20,39 @@ dist-ssr
 *.sw?
 
 # Etc
-.routify
+__other
-build
+psd
+list.py
+tree.txt
+
+# Rust / Cargo 🔧
+# Ignore Cargo build output, generated files, and common Rust artifacts
+/target/
+**/target/
+/target/doc/
+
+# Binaries and dynamic libraries
+*.exe
+# *.dll
+*.so
+*.dylib
+
+# Static libraries
+*.a
+# *.lib
+
+# Rust compilation artifacts
+*.rlib
+*.rmeta
+
+# Backup files and editor temp files
+*.rs.bk
+
+# Ignore packaged crates
+*.crate
+
+# Ignore AI models
+/resources/models/*
+
+# Tauri-generated platform schemas (regenerated on every build)
+crates/jarvis-gui/gen/schemas/*-schema.json

.vscode/extensions.json

@@ -1,7 +0,0 @@
-{
-  "recommendations": [
-    "svelte.svelte-vscode",
-    "tauri-apps.tauri-vscode",
-    "rust-lang.rust-analyzer"
-  ]
-}

Cargo.toml

@@ -0,0 +1,57 @@
+[workspace]
+members = [
+    "crates/jarvis-core",
+    "crates/jarvis-app", 
+    "crates/jarvis-gui",
+    "crates/jarvis-cli"
+]
+resolver = "2"
+
+[workspace.package]
+version = "0.1.0"
+authors = ["Abraham Tugalov (original)", "Bossiara13 (fork)"]
+license = "GPL-3.0-only"
+repository = "https://github.com/Priler/jarvis"
+edition = "2021"
+
+[workspace.dependencies]
+serde = { version = "1.0", features = ["derive"] }
+serde_json = "1.0"
+serde_yaml = "0.9"
+once_cell = "1.19"
+log = "0.4"
+rand = "0.8"
+seqdiff = "0.3"
+hound = "3.5"
+platform-dirs = "0.3"
+rodio = "0.21"
+kira = "0.11"
+pv_recorder = { git = "https://github.com/Priler/pvrecorder" }
+vosk = "0.3"
+rustpotter = { git = "https://github.com/Priler/rustpotter" }
+image = "0.25"
+parking_lot = "0.12.5"
+toml = "0.9.8"
+sha2 = "0.10"
+nnnoiseless = "0.5"
+sysinfo = "0.37.2"
+tokio-tungstenite = "0.28.0"
+futures-util = "0.3"
+fluent = "0.17.0"
+fluent-bundle = "0.16.0"
+unic-langid = "0.9"
+chrono = "0.4"
+mlua = { version = "0.11.5", features = ["lua55", "vendored", "async", "serde"] }
+reqwest = { version = "0.13.1", features = ["blocking", "json"] }
+thiserror = "2"
+tempfile = "^3.24"
+winrt-notification = "0.5"
+
+fastembed = { version = "^5.8.1", default-features = false, features = ["ort-download-binaries"] }
+ort = { version = "=2.0.0-rc.11" }
+ndarray = "0.17"
+tokenizers = { version = "0.22", default-features = false }
+regex = "1"
+sys-locale = "0.3"
+webrtc-vad = "0.4"
+

LICENSE.txt

@@ -0,0 +1,437 @@
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README.md

@@ -0,0 +1,177 @@
+# J.A.R.V.I.S (Rust) — форк Bossiara13
+
+Форк Rust-переписки голосового ассистента [Priler/jarvis](https://github.com/Priler/jarvis).
+Текущий репозиторий: <https://github.com/DmitryBykov-ISPO/J.A.R.V.I.S-rust>.
+
+## Что это
+
+Голосовой ассистент, написанный на Rust, работающий локально (без облака).
+Текущий стек:
+
+- Vosk — Speech-to-Text (через `vosk-rs`).
+- fastembed + ort — локальные эмбеддинги для intent-классификации (MiniLM L6/L12 ONNX).
+- Picovoice Porcupine / Rustpotter / Vosk — три опциональных движка wake-word.
+- mlua (Lua 5.5, vendored) — скрипты пользовательских команд.
+- Tauri + Vite/Svelte — GUI-оболочка (фронтенд в отдельной папке `frontend/`).
+- nnnoiseless — подавление шума.
+- fluent / unic-langid — i18n (`ru`, `ua`, `en`).
+
+**LLM-клиент (Groq / OpenAI-совместимый) добавлен в `jarvis-core::llm` и подключён к голосовому циклу.** Если фраза начинается с триггера («скажи», «ответь», «произнеси»), она уходит в Groq и ответ возвращается через IPC-событие `LlmReply`. Без триггера всё работает как раньше — wake-word + intent + Lua. Это следующий шаг после CLI-only LLM из v0.2.0.
+
+## Это форк
+
+Оригинальный автор — Abraham Tugalov (Priler).
+Апстрим: <https://github.com/Priler/jarvis>.
+Лицензия сохранена: **CC BY-NC-SA 4.0** (см. `LICENSE.txt`).
+Атрибуция в `Cargo.toml` и `voice.toml` пакетов озвучки не изменена.
+
+## Что отличается от апстрима
+
+- Обновлён список авторов в `Cargo.toml` (добавлен `Bossiara13 (fork)`, оригинал сохранён).
+- README переписан и отражает фактическую архитектуру (апстримный README называет проект "Tauri+Svelte", что давно не соответствует действительности — это workspace из 4-х крейтов).
+- Отсутствующие в апстриме ONNX-модели (`all-MiniLM-L6-v2`, `paraphrase-multilingual-MiniLM-L12-v2-onnx-Q`) подтянуты через Git LFS из HuggingFace (Qdrant) и запушены в форк.
+
+## Структура репозитория
+
+Cargo workspace из четырёх крейтов:
+
+| Крейт          | Назначение                                                                 |
+|----------------|----------------------------------------------------------------------------|
+| `jarvis-core`  | Библиотека: конфиг, intent, STT, wake-word, аудио, Lua-бэкенд, i18n.       |
+| `jarvis-app`   | Бинарь-«демон»: собирает всё вместе, tray, IPC.                             |
+| `jarvis-gui`   | Tauri-приложение (использует `frontend/dist/client`).                       |
+| `jarvis-cli`   | CLI для отладки: классификация intent, список команд, dump конфига.         |
+
+Прочее:
+
+- `frontend/` — Vite + Svelte UI для `jarvis-gui`. Собирается отдельно.
+- `lib/windows/amd64/` — нативные DLL/LIB для Vosk, Porcupine, PvRecorder.
+- `resources/` — голоса, модели, конфиги по умолчанию. ONNX-модели хранятся в Git LFS.
+- `post_build.py` — постпроцессинг артефактов сборки (Python 3).
+
+## Сборка
+
+Требования:
+
+- Rust 1.93+ (собирается на stable MSVC).
+- Node 24+ и npm — для фронтенда.
+- Python 3 — для `post_build.py`.
+- MSVC build tools (Windows, x64).
+- Установленные `libvosk.lib`, `libpv_porcupine.dll`, `libpv_recorder.dll` в `lib/windows/amd64/` (уже в репозитории).
+
+Перед сборкой `jarvis-gui` нужно собрать фронтенд:
+
+```bash
+cd frontend
+npm install
+npm run build
+cd ..
+```
+
+Затем workspace:
+
+```bash
+cargo build --workspace
+```
+
+Холодная сборка занимает около 10 минут (ONNX runtime, aws-lc-rs, tauri).
+
+## Статус сборки в этом форке
+
+На моей машине (`cargo build --workspace`, stable MSVC) итог:
+
+- `jarvis-core` — собрался (1 warning, unused import).
+- `jarvis-app` — собрался, бинарник `target/debug/jarvis-app.exe` создан.
+- `jarvis-cli` — **падает на линковке**: `LNK1181: cannot open input file "libvosk.lib"`.
+  Причина: у `jarvis-cli` нет своего `build.rs`, а `.cargo/config.toml` с `rustc-link-search` лежит только внутри `crates/jarvis-app/` и не подтягивается для `jarvis-cli`. Лечится либо добавлением такого же `build.rs` в `crates/jarvis-cli/`, либо вынесением `config.toml` в корень. Сознательно не трогал — фикс выходит за рамки рефакторинга (v0.0.1-import фиксирует поведение апстрима как есть).
+- `jarvis-gui` — падает в `tauri::generate_context!()`: `frontendDist = "../../frontend/dist/client"` не существует. Это ожидаемо, если не запустить `npm run build` в `frontend/` заранее (см. секцию «Сборка»).
+
+Запуск уже собранного:
+
+```bash
+./target/debug/jarvis-app.exe
+```
+
+Для CLI (`jarvis-cli --help`, команды `classify`, `execute`, `list`, `phrases`) нужно сначала починить линковку Vosk (см. выше).
+
+## LLM (Groq)
+
+В `jarvis-core` есть модуль `llm` — блокирующий клиент для OpenAI-совместимого эндпоинта chat completions. По умолчанию настроен на Groq. Используется через фиче-флаг `llm` (включён в дефолтный набор `jarvis_app`, также подтянут в `jarvis-cli`).
+
+Переменные окружения:
+
+| Переменная      | Обязательна | Значение по умолчанию                  |
+|-----------------|-------------|----------------------------------------|
+| `GROQ_TOKEN`    | да          | —                                      |
+| `GROQ_BASE_URL` | нет         | `https://api.groq.com/openai/v1`       |
+| `GROQ_MODEL`    | нет         | `llama-3.3-70b-versatile`              |
+
+Быстрая проверка через CLI:
+
+```bash
+set GROQ_TOKEN=gsk_...
+jarvis-cli ask "скажи привет одной фразой"
+```
+
+Ответ печатается в stdout. Без `GROQ_TOKEN` команда завершится с кодом 2 и сообщением об ошибке. При ошибке API — код 1 и тело ответа.
+
+Программное использование из Rust:
+
+```rust
+use jarvis_core::llm::{LlmClient, ChatMessage};
+
+let client = LlmClient::from_env()?;
+let reply = client.complete(&[ChatMessage::user("привет")], 256)?;
+println!("{}", reply);
+```
+
+### Подключение к голосовому циклу
+
+Помимо CLI, LLM подключён напрямую в `jarvis-app`. Логика в `crates/jarvis-app/src/llm_fallback.rs`:
+
+- При старте `jarvis-app` пытается прочитать `GROQ_TOKEN`. Если переменной нет — фоллбэк отключается, в лог пишется warning, голосовые команды продолжают работать как раньше.
+- Распознанная фраза (как из микрофона, так и из текстовой панели GUI) проверяется на префиксы-триггеры из `config::get_llm_trigger_phrases` (для `ru`/`ua`: `скажи`, `ответь`, `произнеси`; для `en`: `say`, `tell`, `answer`).
+- Если триггер найден — остаток фразы уходит в `LlmClient::complete()`, ответ публикуется в IPC как `IpcEvent::LlmReply { text }` (UI/GUI слушает этот ивент и проговаривает текст уже на своей стороне), а звук-«ок» проигрывается из текущего голосового пресета.
+- История разговора хранится в `ConversationHistory` с потолком `LLM_DEFAULT_MAX_HISTORY = 8` ходов; system-prompt всегда сохраняется при вытеснении старых ходов.
+- При сетевой/API-ошибке последний user-turn убирается из истории, в IPC уходит `LlmReply` с короткой русской фразой («Не могу связаться с сервером, сэр.»), играется звук-«error». Голосовой цикл не падает.
+
+Системный промпт (русский) описывает J.A.R.V.I.S. как британского дворецкого Тони Старка — короткие реплики (1–3 предложения), обращение «сэр», без излишней цензуры. Меняется в `config::LLM_SYSTEM_PROMPT_RU`.
+
+## VAD: умное завершение команды по тишине
+
+После срабатывания wake-word `jarvis-app` слушает команду. Раньше окно закрывалось либо по таймауту Vosk, либо по жёсткому пределу из `config::CMS_WAIT_DELAY` — короткие команды («стоп», «громче») всё равно ждали несколько секунд тишины.
+
+Теперь окно закрывается, как только пользователь замолчал. Реализовано через `webrtc-vad` (чистый Rust, тот же алгоритм, что в Python-версии). Это **паритет с Python v0.2.0**, где использовался `webrtcvad` с теми же параметрами.
+
+Логика (state-машина в `crates/jarvis-core/src/audio_processing/vad/listen_window.rs`):
+
+- Кадр VAD: 30 мс при 16 кГц = 480 сэмплов = 960 байт (mono i16). Кадры с микрофона (по 512 сэмплов от `pv_recorder`) аккумулируются и режутся на VAD-кадры адаптером `WebRtcVad::push_samples`.
+- Каждый VAD-кадр учитывается в счётчиках `speech_ms` / `silence_ms`.
+- Окно закрывается, когда `silence_ms >= VAD_COMMAND_END_SILENCE_MS` И `speech_ms >= VAD_COMMAND_MIN_SPEECH_MS`.
+- До истечения `VAD_COMMAND_MIN_LISTEN_MS` окно не закрывается — пользователю даётся время начать говорить.
+- При достижении `VAD_COMMAND_MAX_LISTEN_MS` срабатывает hard-cap и управление возвращается в режим ожидания wake-word.
+- На событии «закрыть окно» вызывается `stt::finalize_speech()` — Vosk форсированно отдаёт финальный результат, не дожидаясь собственного таймаута.
+
+Параметры (`crates/jarvis-core/src/config.rs`):
+
+| Константа                       | Значение | Назначение                                                  |
+|---------------------------------|----------|-------------------------------------------------------------|
+| `VAD_AGGRESSIVENESS`            | `2`      | Уровень WebRTC VAD: 0 — Quality, 3 — VeryAggressive.        |
+| `VAD_COMMAND_END_SILENCE_MS`    | `1200`   | Сколько тишины подряд считать «команда закончилась».        |
+| `VAD_COMMAND_MIN_SPEECH_MS`     | `500`    | Минимум речи в окне — иначе закрытие игнорируется.          |
+| `VAD_COMMAND_MIN_LISTEN_MS`     | `1000`   | Минимальная длительность окна (страховка от ранних закрытий)|
+| `VAD_COMMAND_MAX_LISTEN_MS`     | `15000`  | Жёсткий потолок окна.                                       |
+
+На короткие команды отзыв стал заметно быстрее (мы выходим на распознавание сразу после паузы пользователя, а не по 5-секундному порогу Vosk).
+
+## Лицензия
+
+Creative Commons **Attribution-NonCommercial-ShareAlike 4.0 International** (CC BY-NC-SA 4.0).
+Полный текст — в `LICENSE.txt`. Атрибуция оригинального автора (Abraham Tugalov) сохранена.
+
+В `Cargo.toml` декларирован `license = "GPL-3.0-only"` — это несоответствие унаследовано от апстрима и не правилось, чтобы не расходиться с upstream-конфигом. Приоритет имеет `LICENSE.txt`.
+
+## Python-версия
+
+Старая версия ассистента была на Python.
+Последний коммит с Python-кодом в апстриме — [943efbf](https://github.com/Priler/jarvis/tree/943efbfbdb8aeb5889fa5e2dc7348ca4ea0b81df).

crates/jarvis-app/.cargo/config.toml

@@ -0,0 +1,16 @@
+# Cargo configuration file
+
+[build]
+jobs = 4
+rustflags = [
+    # "-Ctarget-feature=+fp16,+fhm"
+]
+
+[profile.dev]
+opt-level = 0
+debug = true
+
+[profile.release]
+opt-level = 3
+debug = false
+lto = true

crates/jarvis-app/Cargo.toml

@@ -0,0 +1,32 @@
+[package]
+name = "jarvis-app"
+version.workspace = true
+authors.workspace = true
+license.workspace = true
+repository.workspace = true
+edition.workspace = true
+
+[dependencies]
+jarvis-core = { path = "../jarvis-core", features = ["intent"] }
+once_cell.workspace = true
+log.workspace = true
+simple-log = "2.4"
+tray-icon = "0.21"
+winit = "0.30"
+image.workspace = true
+platform-dirs.workspace = true
+rand.workspace = true
+parking_lot.workspace = true
+
+tokio = { version = "1", features = ["rt-multi-thread"] }
+
+[target.'cfg(windows)'.dependencies.winit]
+version = "0.30"
+features = []
+
+[target.'cfg(target_os = "windows")'.dependencies]
+winapi = { version = "0.3", features = ["winuser"] }
+
+[target.'cfg(target_os = "linux")'.dependencies]
+gtk = "0.18"
+glib = "0.21.5"

crates/jarvis-app/Makefile.toml

@@ -25,21 +25,21 @@ command = "cargo"
 args = ["test"]
 # dependencies = ["clean"]
 
-[tasks.vosk]
+[tasks.post_build]
 script_runner = "python"
 script_extension = "py"
-script = { file = "vosk_build.py" }
+script = { file = "post_build.py" }
 
 [tasks.debug]
 dependencies = [
     "format",
     "build_debug",
-    "vosk"
+    "post_build"
 ]
 
 [tasks.release]
 dependencies = [
     "format",
     "build_release",
-    "vosk"
+    "post_build"
 ]

crates/jarvis-app/build.rs

@@ -0,0 +1,10 @@
+fn main() {
+    // link to Vosk lib
+    // println!("cargo:rustc-link-lib=libvosk.dll");
+
+    let manifest_dir = std::env::var("CARGO_MANIFEST_DIR").unwrap();
+    let lib_path = std::path::Path::new(&manifest_dir)
+        .join("..\\..\\lib\\windows\\amd64");
+    
+    println!("cargo:rustc-link-search=native={}", lib_path.display());
+}

crates/jarvis-app/src/_app.rs

@@ -0,0 +1,337 @@
+use std::sync::mpsc::Receiver;
+use std::time::SystemTime;
+
+use jarvis_core::{audio_buffer::AudioRingBuffer, audio, audio_processing, commands, config,  listener, recorder, stt, COMMANDS_LIST, intent, voices, ipc::{self, IpcEvent}};
+use rand::prelude::*;
+
+use crate::should_stop;
+
+// VAD state machine
+#[derive(Debug, Clone, Copy, PartialEq)]
+enum VadState {
+    WaitingForVoice,
+    VoiceActive,
+}
+
+pub fn start(text_cmd_rx: Receiver<String>) -> Result<(), ()> {
+    // start the loop
+    main_loop(text_cmd_rx)
+}
+
+fn main_loop(text_cmd_rx: Receiver<String>) -> Result<(), ()> {
+    let rt = tokio::runtime::Runtime::new().expect("Failed to create tokio runtime");
+    let mut start: SystemTime;
+    // let sounds_directory = audio::get_sound_directory().unwrap();
+    let frame_length: usize = 512; // default for every wake-word engine
+    let sample_rate: usize = 16000;
+    let mut frame_buffer: Vec<i16> = vec![0; frame_length];
+
+    // ring buffer: keep last 2 seconds of audio
+    let mut audio_buffer = AudioRingBuffer::new(2.0, frame_length, sample_rate);
+
+    // VAD state
+    let mut vad_state = VadState::WaitingForVoice;
+    let mut silence_frames: u32 = 0;
+
+    // how many frames of silence before we consider speech ended
+    // 1.5 seconds = 1.5 * (16000 / 512) ≈ 47 frames
+    // @TODO: Put this to config
+    let silence_threshold: u32 = ((1.5 * sample_rate as f32) / frame_length as f32) as u32;
+
+    // play some startup phrase
+    // audio::play_sound(&sounds_directory.join("run.wav"));
+    voices::play_greet();
+
+    // start recording
+    match recorder::start_recording() {
+        Ok(_) => info!("Recording started."),
+        Err(_) => {
+            error!("Cannot start recording.");
+            return Err(()); // quit
+        }
+    }
+
+    // notify GUI we're ready
+    ipc::send(IpcEvent::Idle);
+
+    // DEBUG counter
+    let mut frame_count: u32 = 0;
+
+    // the loop
+    'wake_word: loop {
+        // check for stop signal
+        if should_stop() {
+            info!("Stop signal received, shutting down...");
+            voices::play_goodbye();
+            ipc::send(IpcEvent::Stopping);
+            break;
+        }
+
+        // check for text commands
+        if let Ok(text) = text_cmd_rx.try_recv() {
+            process_text_command(&text, &rt);
+            continue 'wake_word;
+        }
+
+        // read from microphone
+        recorder::read_microphone(&mut frame_buffer);
+
+        // DEBUG: check raw audio
+        frame_count += 1;
+        let raw_rms = calculate_rms(&frame_buffer);
+
+        if frame_count % 100 == 0 {
+            info!("DEBUG [{}]: raw_rms={:.0}", frame_count, raw_rms);
+        }
+
+        // check if we're getting any audio at all
+        if frame_count == 100 && raw_rms < 10.0 {
+            warn!("WARNING: Microphone appears to be silent! RMS={:.0}", raw_rms);
+        }
+
+        // process audio (gain -> noise suppression -> VAD)
+        let processed = audio_processing::process(&frame_buffer);
+
+        if frame_count % 100 == 0 {
+            info!("DEBUG [{}]: is_voice={}, vad_conf={:.2}, processed_rms={:.0}", 
+                frame_count,
+                processed.is_voice, 
+                processed.vad_confidence,
+                calculate_rms(&processed.samples)
+            );
+        }
+
+        // skip if no voice detected (vad)
+        if !processed.is_voice {
+            continue 'wake_word;
+        }
+
+        // DEBUG: we passed VAD
+        if frame_count % 50 == 0 {
+            info!("DEBUG: Voice detected, checking wake word...");
+        }
+
+        // recognize wake-word
+        match listener::data_callback(&frame_buffer) {
+            Some(_keyword_index) => {
+                // notify GUI
+                ipc::send(IpcEvent::WakeWordDetected);
+
+                // reset some things
+                stt::reset_wake_recognizer();
+                stt::reset_speech_recognizer();
+                audio_processing::reset();
+
+                // wake-word activated, process further commands
+                // capture current time
+                start = SystemTime::now();
+                silence_frames = 0;
+
+                // play some reply phrase
+                // @TODO. Make it via commands or upcoming events system.
+                voices::play_reply();
+
+
+                // notify GUI we're listening
+                ipc::send(IpcEvent::Listening);
+
+                // wait for voice commands
+                'voice_recognition: loop {
+                    // check for stop
+                    if should_stop() {
+                        break 'wake_word;
+                    }
+
+                    // read from microphone
+                    recorder::read_microphone(&mut frame_buffer);
+
+                    // process first
+                    let processed = audio_processing::process(&frame_buffer);
+
+                    // detect silence, return to wake-word if silence
+                    if processed.is_voice {
+                        silence_frames = 0;
+                    } else {
+                        silence_frames += 1;
+                        if silence_frames > config::VAD_SILENCE_FRAMES * 2 {
+                            info!("Long silence detected, returning to wake word mode.");
+                            break 'voice_recognition;
+                        }
+                    }
+
+                    // stt part (without partials)
+                    if let Some(mut recognized_voice) = stt::recognize(&frame_buffer, false) {
+                        // something was recognized
+                        info!("Recognized voice: {}", recognized_voice);
+
+                        // notify GUI
+                        ipc::send(IpcEvent::SpeechRecognized {
+                            text: recognized_voice.clone(),
+                        });
+
+                        // filter recognized voice
+                        // @TODO. Better recognized voice filtration.
+                        recognized_voice = recognized_voice.to_lowercase();
+
+                        // answer again if it's activation phrase repeated
+                        if recognized_voice.contains(config::VOSK_FETCH_PHRASE) {
+                            info!("Wake word detected during chaining, reactivating...");
+                            
+                            // play greet sound
+                            // audio::play_sound(&sounds_directory.join(format!(
+                            //     "{}.wav",
+                            //     config::ASSISTANT_GREET_PHRASES
+                            //         .choose(&mut rand::thread_rng())
+                            //         .unwrap()
+                            // )));
+                            voices::play_reply();
+                            
+                            // reset timer and continue listening
+                            start = SystemTime::now();
+                            silence_frames = 0;
+                            stt::reset_speech_recognizer();
+
+                            ipc::send(IpcEvent::Listening);
+                            continue 'voice_recognition;
+                        }
+
+                        // filter out activation phrase from command
+                        for tbr in config::ASSISTANT_PHRASES_TBR {
+                            recognized_voice = recognized_voice.replace(tbr, "");
+                        }
+                        recognized_voice = recognized_voice.trim().into();
+
+                        // skip if nothing left after filtering (*evil laugh*)
+                        if recognized_voice.is_empty() {
+                            continue 'voice_recognition;
+                        }
+
+                        // execute command (shared executor)
+                        execute_command(&recognized_voice, &rt);
+
+                        // return to wake-word listening after command execution (no matter successful or not)
+                        break 'voice_recognition;
+                    }
+
+                    // only recognize voice for a certain period of time
+                    match start.elapsed() {
+                        Ok(elapsed) if elapsed > config::CMS_WAIT_DELAY => {
+                            // return to wake-word listening after N seconds
+                            break 'voice_recognition;
+                        }
+                        _ => (),
+                    }
+
+                    // reset things
+                    stt::reset_wake_recognizer();
+                    audio_processing::reset();
+                    ipc::send(IpcEvent::Idle);
+                }
+            }
+            None => (),
+        }
+    }
+
+    // cleanup
+    recorder::stop_recording().ok();
+    ipc::send(IpcEvent::Stopping);
+
+    Ok(())
+}
+
+
+// process text command from GUI
+fn process_text_command(text: &str, rt: &tokio::runtime::Runtime) {
+    info!("Processing text command: {}", text);
+    
+    ipc::send(IpcEvent::SpeechRecognized { text: text.to_string() });
+    
+    // filter text same as voice
+    let mut filtered = text.to_lowercase();
+    for tbr in config::ASSISTANT_PHRASES_TBR {
+        filtered = filtered.replace(tbr, "");
+    }
+    let filtered = filtered.trim();
+    
+    if filtered.is_empty() {
+        ipc::send(IpcEvent::Idle);
+        return;
+    }
+    
+    execute_command(filtered, rt);
+}
+
+// shared command execution logic (manual & voice)
+fn execute_command(text: &str, rt: &tokio::runtime::Runtime) {
+    let commands_list = match COMMANDS_LIST.get() {
+        Some(c) => c,
+        None => {
+            ipc::send(IpcEvent::Error { message: "Commands not loaded".to_string() });
+            ipc::send(IpcEvent::Idle);
+            return;
+        }
+    };
+    
+    // let sounds_directory = audio::get_sound_directory().unwrap();
+    
+    // try intent recognition first, fallback to levenshtein
+    let cmd_result = if let Some((intent_id, confidence)) = 
+        rt.block_on(intent::classify(text)) 
+    {
+        info!("Intent recognized: {} (confidence: {:.2})", intent_id, confidence);
+        intent::get_command_by_intent(commands_list, &intent_id)
+    } else {
+        info!("Intent not recognized, trying levenshtein fallback...");
+        commands::fetch_command(text, commands_list)
+    };
+    
+    if let Some((cmd_path, cmd_config)) = cmd_result {
+        info!("Command found: {:?}", cmd_path);
+        
+        match commands::execute_command(&cmd_path, &cmd_config) {
+            Ok(_) => {
+                info!("Command executed successfully");
+                voices::play_ok(); // command executed sound
+                ipc::send(IpcEvent::CommandExecuted {
+                    id: cmd_config.id.clone(),
+                    success: true,
+                });
+            }
+            Err(msg) => {
+                error!("Error executing command: {}", msg);
+                voices::play_error();
+                ipc::send(IpcEvent::CommandExecuted {
+                    id: cmd_config.id.clone(),
+                    success: false,
+                });
+                ipc::send(IpcEvent::Error { message: msg.to_string() });
+            }
+        }
+    } else {
+        info!("No command found for: {}", text);
+        // play "not understood" sound
+        // audio::play_sound(&sounds_directory.join("not_understand.wav"));
+        voices::play_not_found();
+        ipc::send(IpcEvent::Error { 
+            message: format!("Command not found: {}", text) 
+        });
+    }
+    
+    ipc::send(IpcEvent::Idle);
+}
+
+
+fn keyword_callback(keyword_index: i32) {}
+
+pub fn close(code: i32) {
+    info!("Closing application.");
+    voices::play_goodbye();
+    ipc::send(IpcEvent::Stopping);
+    std::process::exit(code);
+}
+
+fn calculate_rms(samples: &[i16]) -> f32 {
+    if samples.is_empty() { return 0.0; }
+    let sum: f64 = samples.iter().map(|&s| (s as f64).powi(2)).sum();
+    (sum / samples.len() as f64).sqrt() as f32
+}

crates/jarvis-app/src/_main.rs

@@ -1,18 +1,12 @@
-// Prevents additional console window on Windows in release, DO NOT REMOVE!!
+
-// #![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]
 
 #[macro_use]
 extern crate lazy_static; // better switch to once_cell ?
 use pickledb::{PickleDb, PickleDbDumpPolicy, SerializationMethod};
+use log::{info};
+use log::LevelFilter;
 use std::sync::Mutex;
 
-// expose the config
-mod config;
-use config::*;
-
-// include tauri commands
-mod tauri_commands;
-
 // include assistant commands
 mod assistant_commands;
 use assistant_commands::AssistantCommand;
@@ -23,10 +17,8 @@ mod vosk;
 // include events
 mod events;
 
-// app dir
+// include recorder
-lazy_static! {
+mod recorder;
-    static ref APP_CONFIG_DIR: Mutex<String> = Mutex::new(String::new());
-}
 
 // init PickleDb connection
 lazy_static! {
@@ -37,7 +29,7 @@ lazy_static! {
             SerializationMethod::Json
         )
         .unwrap_or_else(|_x: _| {
-            println!("Creating new db file at {} ...", format!("{}/{}", APP_CONFIG_DIR.lock().unwrap(), DB_FILE_NAME));
+            info!("Creating new db file at {} ...", format!("{}/{}", APP_CONFIG_DIR.lock().unwrap(), DB_FILE_NAME));
             PickleDb::new(
                 format!("{}/{}", APP_CONFIG_DIR.lock().unwrap(), DB_FILE_NAME),
                 PickleDbDumpPolicy::AutoDump,
@@ -47,19 +39,24 @@ lazy_static! {
     );
 }
 
-// init commands
-lazy_static! {
-    static ref COMMANDS: Vec<AssistantCommand> = assistant_commands::parse_commands().unwrap();
-}
-
 fn main() {
+    // init vosk
     vosk::init_vosk();
 
+    // run the app
     tauri::Builder::default()
         .setup(|app| {
             std::fs::create_dir_all(app.path_resolver().app_config_dir().unwrap())?;
             APP_CONFIG_DIR.lock().unwrap().push_str(app.path_resolver().app_config_dir().unwrap().to_str().unwrap());
 
+            std::fs::create_dir_all(app.path_resolver().app_log_dir().unwrap())?;
+            APP_LOG_DIR.lock().unwrap().push_str(app.path_resolver().app_log_dir().unwrap().to_str().unwrap());
+
+            // log to file
+            let log_file_path = format!("{}/{}", APP_LOG_DIR.lock().unwrap(), config::LOG_FILE_NAME);
+            println!("!!!===============!!!\nLOGGING TO {}\n!!!===============!!!\n", &log_file_path);
+            simple_logging::log_to_file(&log_file_path, LevelFilter::max()).expect("Failed to start logger ... is directory writable?");
+
             Ok(())
         })
         .invoke_handler(tauri::generate_handler![
@@ -80,10 +77,15 @@ fn main() {
             tauri_commands::get_cpu_usage,
             // sound commands
             tauri_commands::play_sound,
+            // fs commands
+            tauri_commands::show_in_folder,
             // etc commands
             tauri_commands::get_app_version,
             tauri_commands::get_author_name,
-            tauri_commands::get_repository_link
+            tauri_commands::get_repository_link,
+            tauri_commands::get_tg_official_link,
+            tauri_commands::get_feedback_link,
+            tauri_commands::get_log_file_path
         ])
         .run(tauri::generate_context!())
         .expect("error while running tauri application");

crates/jarvis-app/src/app.rs

@@ -0,0 +1,478 @@
+use std::sync::mpsc::Receiver;
+use std::time::SystemTime;
+
+use jarvis_core::{audio_buffer::AudioRingBuffer, audio_processing, audio_processing::vad::listen_window::{ListenWindow, WindowDecision}, audio_processing::vad::webrtc::WebRtcVad, commands, config, listener, recorder, stt, COMMANDS_LIST, intent, voices, ipc::{self, IpcEvent}, i18n, slots};
+use rand::seq::SliceRandom;
+
+use crate::should_stop;
+
+// VAD state machine
+#[derive(Debug, Clone, Copy, PartialEq)]
+enum VadState {
+    WaitingForVoice,
+    VoiceActive,
+}
+
+pub fn start(text_cmd_rx: Receiver<String>, rt: &tokio::runtime::Runtime) -> Result<(), ()> {
+    main_loop(text_cmd_rx, rt)
+}
+
+fn main_loop(text_cmd_rx: Receiver<String>, rt: &tokio::runtime::Runtime) -> Result<(), ()> {
+    let frame_length: usize = 512;
+    let sample_rate: usize = 16000;
+    let mut frame_buffer: Vec<i16> = vec![0; frame_length];
+    
+    // ring buffer: keeps last 5 seconds of audio (pre-roll)
+    let mut audio_buffer = AudioRingBuffer::new(5.0, frame_length, sample_rate);
+
+    // VAD state
+    let mut vad_state = VadState::WaitingForVoice;
+    let mut silence_frames: u32 = 0;
+    
+    // how many frames of silence before we consider speech ended
+    // 1.5 seconds = 1.5 * (16000 / 512) ≈ 47 frames
+    let silence_threshold: u32 = ((1.5 * sample_rate as f32) / frame_length as f32) as u32;
+    
+    voices::play_greet();
+
+    match recorder::start_recording() {
+        Ok(_) => info!("Recording started. Microphone: {}", 
+            recorder::get_audio_device_name(recorder::get_selected_microphone_index())),
+        Err(_) => {
+            error!("Cannot start recording.");
+            return Err(());
+        }
+    }
+
+    ipc::send(IpcEvent::Idle);
+
+    // ### WAKE WORD DETECTION LOOP
+    'wake_word: loop {
+        if should_stop() {
+            info!("Stop signal received, shutting down...");
+            voices::play_goodbye();
+            ipc::send(IpcEvent::Stopping);
+            break;
+        }
+
+        if let Ok(text) = text_cmd_rx.try_recv() {
+            process_text_command(&text, &rt);
+            continue 'wake_word;
+        }
+
+        recorder::read_microphone(&mut frame_buffer);
+        let processed = audio_processing::process(&frame_buffer);
+        
+        match vad_state {
+            VadState::WaitingForVoice => {
+                // always buffer audio
+                audio_buffer.push(&frame_buffer);
+                
+                if processed.is_voice {
+                    // voice started! flush buffer to Vosk
+                    info!("VAD: Voice started, flushing {} buffered frames", audio_buffer.len());
+                    
+                    for buffered_frame in audio_buffer.drain_all() {
+                        listener::data_callback(&buffered_frame);
+                    }
+                    
+                    vad_state = VadState::VoiceActive;
+                    silence_frames = 0;
+                }
+            }
+            
+            VadState::VoiceActive => {
+                // dual-feed: speech recognizer gets frames in parallel with wake word detector
+                let _ = stt::recognize(&frame_buffer, false);
+
+                // feed to wake word detector
+                if let Some(_keyword_index) = listener::data_callback(&frame_buffer) {
+                    // WAKE WORD DETECTED!
+                    info!("Wake word activated!");
+                    ipc::send(IpcEvent::WakeWordDetected);
+                    
+                    stt::reset_wake_recognizer();
+                    audio_processing::reset();
+
+                    // brief sniff to keep feeding STT while transitioning
+                    let sniff_frames = ((0.3 * sample_rate as f32) / frame_length as f32) as u32;
+                    for _ in 0..sniff_frames {
+                        recorder::read_microphone(&mut frame_buffer);
+                        audio_processing::process(&frame_buffer);
+                        stt::recognize(&frame_buffer, false);
+                    }
+
+                    ipc::send(IpcEvent::Listening);
+                    recognize_command(&mut frame_buffer, &rt, frame_length, sample_rate, true);
+
+                    // reset state after command
+                    vad_state = VadState::WaitingForVoice;
+                    silence_frames = 0;
+                    audio_buffer.clear();
+                    stt::reset_wake_recognizer();
+                    stt::reset_speech_recognizer(); // NOW reset, after command is done
+                    audio_processing::reset();
+                    ipc::send(IpcEvent::Idle);
+                    
+                    continue 'wake_word;
+                }
+                
+                // track silence
+                if processed.is_voice {
+                    silence_frames = 0;
+                } else {
+                    silence_frames += 1;
+                    
+                    if silence_frames > silence_threshold {
+                        debug!("VAD: Silence timeout, returning to wait state");
+                        vad_state = VadState::WaitingForVoice;
+                        silence_frames = 0;
+                        stt::reset_wake_recognizer();
+                        stt::reset_speech_recognizer(); // reset since we were dual-feeding
+                    }
+                }
+            }
+        }
+    }
+
+    recorder::stop_recording().ok();
+    ipc::send(IpcEvent::Stopping);
+
+    Ok(())
+}
+
+
+// Voice recognition for command after wake word
+fn recognize_command(
+    frame_buffer: &mut [i16],
+    rt: &tokio::runtime::Runtime,
+    frame_length: usize,
+    sample_rate: usize,
+    prefed_audio: bool
+) {
+    let mut audio_buffer = AudioRingBuffer::new(2.0, frame_length, sample_rate);
+    let mut vad_state = if prefed_audio {
+        VadState::VoiceActive
+    } else {
+        VadState::WaitingForVoice
+    };
+    let mut silence_frames: u32 = 0;
+    let mut start = SystemTime::now();
+    let mut first_recognition = prefed_audio;
+
+    let mut webrtc_vad = WebRtcVad::with_aggressiveness(config::VAD_AGGRESSIVENESS);
+    let mut window = ListenWindow::new(jarvis_core::audio_processing::vad::webrtc::FRAME_MS);
+
+    let silence_threshold: u32 = ((5.0 * sample_rate as f32) / frame_length as f32) as u32;
+    
+    loop {
+        if crate::should_stop() {
+            return;
+        }
+        
+        recorder::read_microphone(frame_buffer);
+        let processed = audio_processing::process(frame_buffer);
+
+        let mut vad_finalized: Option<String> = None;
+        let mut vad_hard_cap = false;
+        for is_speech in webrtc_vad.push_samples(frame_buffer) {
+            match window.push(is_speech) {
+                WindowDecision::KeepListening => {}
+                WindowDecision::Close => {
+                    if window.had_speech() {
+                        info!(
+                            "VAD: silence after speech ({} ms speech, {} ms silence), finalizing.",
+                            window.speech_ms(), window.silence_ms()
+                        );
+                        vad_finalized = stt::finalize_speech();
+                        if vad_finalized.is_none() {
+                            return;
+                        }
+                        break;
+                    }
+                }
+                WindowDecision::HardCap => {
+                    info!("VAD: hard cap reached ({} ms), returning to wake word mode.", window.elapsed_ms());
+                    vad_hard_cap = true;
+                    break;
+                }
+            }
+        }
+        if vad_hard_cap {
+            return;
+        }
+
+        match vad_state {
+            VadState::WaitingForVoice => {
+                audio_buffer.push(frame_buffer);
+
+                if processed.is_voice {
+                    // flush buffer to STT
+                    for buffered_frame in audio_buffer.drain_all() {
+                        stt::recognize(&buffered_frame, false);
+                    }
+                    vad_state = VadState::VoiceActive;
+                    silence_frames = 0;
+                } else {
+                    silence_frames += 1;
+
+                    if silence_frames > silence_threshold {
+                        info!("Long silence detected, returning to wake word mode.");
+                        return;
+                    }
+                }
+            }
+            
+            VadState::VoiceActive => {
+                // feed to STT (or use VAD-forced finalization)
+                let recognized = vad_finalized.take().or_else(|| stt::recognize(frame_buffer, false));
+                if let Some(mut recognized_voice) = recognized {
+                    info!("Recognized voice: {}", recognized_voice);
+                    
+                    ipc::send(IpcEvent::SpeechRecognized {
+                        text: recognized_voice.clone(),
+                    });
+                    
+                    recognized_voice = recognized_voice.to_lowercase();
+                    
+                    // check if wake word repeated (reactivate)
+                    let wake_phrases = config::get_wake_phrases(&i18n::get_language());
+                    let contains_wake = wake_phrases.iter().any(|wp| recognized_voice.contains(wp));
+
+                    if contains_wake {
+                        // strip the wake word
+                        let mut remaining = recognized_voice.clone();
+                        for wp in wake_phrases {
+                            remaining = remaining.replace(wp, "");
+                        }
+                        let remaining = remaining.trim();
+
+                        if remaining.is_empty() {
+                            if first_recognition {
+                                // leftover wake word from dual-feed, just discard it
+                                info!("Discarding initial wake word from prefed audio");
+                                first_recognition = false;
+                                stt::reset_speech_recognizer();
+                                voices::play_reply();
+                                vad_state = VadState::WaitingForVoice;
+                                silence_frames = 0;
+                                start = SystemTime::now();
+                                audio_buffer.clear();
+                                webrtc_vad.reset();
+                                window = ListenWindow::new(jarvis_core::audio_processing::vad::webrtc::FRAME_MS);
+                                continue;
+                            }
+
+                            // just wake word, no command - reactivate
+                            info!("Wake word repeated during chaining, reactivating...");
+                            voices::play_reply();
+                            stt::reset_speech_recognizer();
+                            ipc::send(IpcEvent::Listening);
+
+                            vad_state = VadState::WaitingForVoice;
+                            silence_frames = 0;
+                            start = SystemTime::now();
+                            audio_buffer.clear();
+                            webrtc_vad.reset();
+                            window = ListenWindow::new(jarvis_core::audio_processing::vad::webrtc::FRAME_MS);
+                            continue;
+                        } else {
+                            // wake word + command in one phrase - execute the command part
+                            info!("Wake word + command during chaining: '{}'", remaining);
+                            recognized_voice = remaining.to_string();
+                            // fall through to command execution below
+                        }
+                    }
+
+                    first_recognition = false;
+
+                    if crate::llm_fallback::is_enabled() {
+                        if let Some(prompt) = crate::llm_fallback::extract_prompt(&recognized_voice) {
+                            crate::llm_fallback::handle(&prompt);
+                            stt::reset_speech_recognizer();
+                            vad_state = VadState::WaitingForVoice;
+                            silence_frames = 0;
+                            start = SystemTime::now();
+                            audio_buffer.clear();
+                            webrtc_vad.reset();
+                            window = ListenWindow::new(jarvis_core::audio_processing::vad::webrtc::FRAME_MS);
+                            ipc::send(IpcEvent::Listening);
+                            continue;
+                        }
+                    }
+
+                    // filter activation phrases
+                    // for tbr in config::ASSISTANT_PHRASES_TBR {
+                    //     recognized_voice = recognized_voice.replace(tbr, "");
+                    // }
+                    for tbr in config::get_phrases_to_remove(&i18n::get_language()) {
+                        recognized_voice = recognized_voice.replace(tbr, "");
+                    }
+
+                    recognized_voice = recognized_voice.trim().to_string();
+                    
+                    if recognized_voice.len() < 5 {
+                        debug!("Ignoring too short recognition: '{}'", recognized_voice);
+                        continue;
+                    }
+
+                    if recognized_voice.is_empty() {
+                        continue;
+                    }
+                    
+                    // execute command and check if we should chain
+                    let should_chain = execute_command(&recognized_voice, rt);
+                    
+                    if should_chain {
+                        // chain: reset and continue listening
+                        info!("Chaining enabled, continuing to listen...");
+                        stt::reset_speech_recognizer();
+                        vad_state = VadState::WaitingForVoice;
+                        silence_frames = 0;
+                        start = SystemTime::now();
+                        audio_buffer.clear();
+                        webrtc_vad.reset();
+                        window = ListenWindow::new(jarvis_core::audio_processing::vad::webrtc::FRAME_MS);
+                        ipc::send(IpcEvent::Listening);
+                        continue;
+                    } else {
+                        // no chain: return to wake word
+                        info!("No chain, returning to wake word mode.");
+                        return;
+                    }
+                }
+                
+                // track silence
+                if processed.is_voice {
+                    silence_frames = 0;
+                } else {
+                    silence_frames += 1;
+                    
+                    if silence_frames > silence_threshold {
+                        info!("Long silence detected, returning to wake word mode.");
+                        return;
+                    }
+                }
+            }
+        }
+        
+        // timeout
+        if let Ok(elapsed) = start.elapsed() {
+            if elapsed > config::CMS_WAIT_DELAY {
+                info!("Command timeout, returning to wake word mode.");
+                return;
+            }
+        }
+    }
+}
+
+
+fn process_text_command(text: &str, rt: &tokio::runtime::Runtime) {
+    info!("Processing text command: {}", text);
+
+    ipc::send(IpcEvent::SpeechRecognized { text: text.to_string() });
+
+    if crate::llm_fallback::is_enabled() {
+        if let Some(prompt) = crate::llm_fallback::extract_prompt(text) {
+            crate::llm_fallback::handle(&prompt);
+            ipc::send(IpcEvent::Idle);
+            return;
+        }
+    }
+
+    let mut filtered = text.to_lowercase();
+    // for tbr in config::ASSISTANT_PHRASES_TBR {
+    //     filtered = filtered.replace(tbr, "");
+    // }
+    for tbr in config::get_phrases_to_remove(&i18n::get_language()) {
+        filtered = filtered.replace(tbr, "");
+    }
+
+    let filtered = filtered.trim();
+    
+    if filtered.is_empty() {
+        ipc::send(IpcEvent::Idle);
+        return;
+    }
+    
+    // text commands never chain
+    execute_command(filtered, rt);
+}
+
+
+// Execute command, returns true if chaining should continue
+fn execute_command(text: &str, rt: &tokio::runtime::Runtime) -> bool {
+    let commands_list = match COMMANDS_LIST.get() {
+        Some(c) => c,
+        None => {
+            ipc::send(IpcEvent::Error { message: "Commands not loaded".to_string() });
+            ipc::send(IpcEvent::Idle);
+            return false;
+        }
+    };
+    
+    let cmd_result = if let Some((intent_id, confidence)) = 
+        rt.block_on(intent::classify(text)) 
+    {
+        info!("Intent recognized: {} (confidence: {:.2})", intent_id, confidence);
+        intent::get_command_by_intent(commands_list, &intent_id)
+    } else {
+        info!("Intent not recognized, trying levenshtein fallback...");
+        commands::fetch_command(text, commands_list)
+    };
+    
+    if let Some((cmd_path, cmd_config)) = cmd_result {
+        info!("Command found: {:?}", cmd_path);
+        
+        // extract slots if needed
+        let extracted_slots = if !cmd_config.slots.is_empty() {
+            let s = slots::extract(text, &cmd_config.slots);
+            if !s.is_empty() {
+                info!("Extracted slots: {:?}", s);
+            }
+            Some(s)
+        } else {
+            None
+        };
+
+        match commands::execute_command(&cmd_path, &cmd_config, Some(&text), extracted_slots.as_ref()) {
+            Ok(chain) => {
+                info!("Command executed successfully");
+                // voices::play_ok();
+                voices::play_random_from(cmd_config.get_sounds(&i18n::get_language()).as_slice());
+                ipc::send(IpcEvent::CommandExecuted {
+                    id: cmd_config.id.clone(),
+                    success: true,
+                });
+                ipc::send(IpcEvent::Idle);
+                return chain; // return chain status from command
+            }
+            Err(msg) => {
+                error!("Error executing command: {}", msg);
+                voices::play_error();
+                ipc::send(IpcEvent::CommandExecuted {
+                    id: cmd_config.id.clone(),
+                    success: false,
+                });
+                ipc::send(IpcEvent::Error { message: msg.to_string() });
+            }
+        }
+    } else {
+        info!("No command found for: {}", text);
+        voices::play_not_found();
+        ipc::send(IpcEvent::Error { 
+            message: format!("Command not found: {}", text) 
+        });
+    }
+    
+    ipc::send(IpcEvent::Idle);
+    false // no chain on error or not found
+}
+
+
+pub fn close(code: i32) {
+    info!("Closing application.");
+    voices::play_goodbye();
+    ipc::send(IpcEvent::Stopping);
+    std::process::exit(code);
+}

crates/jarvis-app/src/llm_fallback.rs

@@ -0,0 +1,113 @@
+use once_cell::sync::OnceCell;
+use parking_lot::Mutex;
+
+use jarvis_core::config;
+use jarvis_core::i18n;
+use jarvis_core::ipc::{self, IpcEvent};
+use jarvis_core::llm::{ChatMessage, ConversationHistory, LlmClient};
+use jarvis_core::voices;
+
+struct State {
+    client: LlmClient,
+    history: Mutex<ConversationHistory>,
+    max_tokens: u32,
+}
+
+static STATE: OnceCell<Option<State>> = OnceCell::new();
+
+pub fn init() {
+    let _ = STATE.set(build_state());
+}
+
+fn build_state() -> Option<State> {
+    if !config::LLM_DEFAULT_ENABLED {
+        info!("LLM fallback disabled by config.");
+        return None;
+    }
+
+    let client = match LlmClient::from_env() {
+        Ok(c) => c,
+        Err(e) => {
+            warn!("LLM fallback disabled: {}. Set GROQ_TOKEN to enable.", e);
+            return None;
+        }
+    };
+
+    let lang = i18n::get_language();
+    let prompt = config::get_llm_system_prompt(&lang);
+    let history = Mutex::new(ConversationHistory::new(prompt, config::LLM_DEFAULT_MAX_HISTORY));
+
+    info!("LLM fallback enabled (model: {}).", client.model());
+    Some(State {
+        client,
+        history,
+        max_tokens: config::LLM_DEFAULT_MAX_TOKENS,
+    })
+}
+
+pub fn is_enabled() -> bool {
+    STATE.get().and_then(|s| s.as_ref()).is_some()
+}
+
+pub fn extract_prompt(text: &str) -> Option<String> {
+    let lang = i18n::get_language();
+    let triggers = config::get_llm_trigger_phrases(&lang);
+    let lowered = text.to_lowercase();
+
+    for trig in triggers {
+        if let Some(rest) = strip_trigger(&lowered, trig) {
+            let trimmed = rest.trim();
+            if !trimmed.is_empty() {
+                return Some(trimmed.to_string());
+            }
+        }
+    }
+    None
+}
+
+fn strip_trigger(text: &str, trigger: &str) -> Option<String> {
+    let t = text.trim_start();
+    if let Some(after) = t.strip_prefix(trigger) {
+        let next = after.chars().next();
+        if next.map_or(true, |c| !c.is_alphanumeric()) {
+            return Some(after.to_string());
+        }
+    }
+    None
+}
+
+pub fn handle(prompt: &str) {
+    let state = match STATE.get().and_then(|s| s.as_ref()) {
+        Some(s) => s,
+        None => {
+            warn!("LLM fallback called while disabled — ignoring.");
+            return;
+        }
+    };
+
+    info!("LLM prompt: {}", prompt);
+
+    let snapshot: Vec<ChatMessage> = {
+        let mut h = state.history.lock();
+        h.push_user(prompt);
+        h.snapshot()
+    };
+
+    match state.client.complete(&snapshot, state.max_tokens) {
+        Ok(reply) => {
+            let reply = reply.trim().to_string();
+            info!("LLM reply: {}", reply);
+            state.history.lock().push_assistant(reply.clone());
+            ipc::send(IpcEvent::LlmReply { text: reply });
+            voices::play_ok();
+        }
+        Err(e) => {
+            error!("LLM request failed: {}", e);
+            state.history.lock().pop_last_user();
+            ipc::send(IpcEvent::LlmReply {
+                text: config::LLM_FALLBACK_ERROR_RU.to_string(),
+            });
+            voices::play_error();
+        }
+    }
+}

crates/jarvis-app/src/log.rs

@@ -0,0 +1,25 @@
+use simple_log::LogConfigBuilder;
+
+use crate::config;
+use crate::APP_LOG_DIR;
+
+pub fn init_logging() -> Result<(), String> {
+    // configure logging
+    let config = LogConfigBuilder::builder()
+        .path(format!(
+            "{}/{}",
+            APP_LOG_DIR.get().unwrap().display(),
+            config::LOG_FILE_NAME
+        ))
+        .size(1 * 100)
+        .roll_count(10)
+        .time_format("%Y-%m-%d %H:%M:%S.%f")
+        .level("debug")?
+        .output_file()
+        .output_console()
+        .build();
+
+    simple_log::new(config)?;
+
+    Ok(())
+}

crates/jarvis-app/src/main.rs

@@ -0,0 +1,177 @@
+use jarvis_core::slots;
+use std::sync::Arc;
+use std::sync::atomic::{AtomicBool, Ordering};
+use std::sync::mpsc;
+
+// include core
+use jarvis_core::{
+    audio, audio_processing, commands, config, db, listener, recorder, stt, intent,
+    ipc::{self, IpcAction},
+    i18n, voices, models,
+    APP_CONFIG_DIR, APP_LOG_DIR, COMMANDS_LIST, DB,
+};
+
+// include log
+#[macro_use]
+extern crate simple_log;
+mod log;
+
+// include app
+mod app;
+mod llm_fallback;
+
+// include tray
+// @TODO. macOS currently not supported for tray functionality.
+#[cfg(not(target_os = "macos"))]
+mod tray;
+
+static SHOULD_STOP: AtomicBool = AtomicBool::new(false);
+
+fn main() -> Result<(), String> {
+    // initialize directories
+    config::init_dirs()?;
+
+    // initialize logging
+    log::init_logging()?;
+
+    // log some base info
+    info!("Starting Jarvis v{} ...", config::APP_VERSION.unwrap());
+    info!("Config directory is: {}", APP_CONFIG_DIR.get().unwrap().display());
+    info!("Log directory is: {}", APP_LOG_DIR.get().unwrap().display());
+
+    // initialize settings
+    let settings = db::init();
+
+    // set global DB (for core modules that read settings at init time)
+    DB.set(settings.arc().clone())
+            .expect("DB already initialized");
+
+    // init voices
+    let voice_id = settings.lock().voice.clone();
+    let language = settings.lock().language.clone();
+    if let Err(e) = voices::init(&voice_id, &language) {
+        warn!("Failed to init voices: {}", e);
+    }
+
+    // init i18n
+    i18n::init(&settings.lock().language);
+
+    // init LLM fallback (no-op if GROQ_TOKEN missing)
+    llm_fallback::init();
+
+    // init recorder
+    if recorder::init().is_err() {
+        app::close(1);
+    }
+
+    // init models registry (scans available AI models)
+    if let Err(e) = models::init() {
+        warn!("Models registry init failed: {}", e);
+    }
+
+    // init stt engine
+    if stt::init().is_err() {
+        // @TODO. Allow continuing even without STT, if commands is using keywords or smthng?
+        app::close(1); // cannot continue without stt
+    }
+
+    // init commands
+    info!("Initializing commands.");
+    let cmds = match commands::parse_commands() {
+        Ok(c) => c,
+        Err(e) => {
+            warn!("Failed to parse commands: {}. Starting with empty command list.", e);
+            Vec::new()
+        }
+    };
+    info!("Commands initialized. Count: {}, List: {:?}", cmds.len(), commands::list_paths(&cmds));
+    COMMANDS_LIST.set(cmds).unwrap();
+
+    // init audio
+    if audio::init().is_err() {
+        // @TODO. Allow continuing even without audio?
+        app::close(1); // cannot continue without audio
+    }
+
+    // init wake-word engine
+    if let Err(e) = listener::init() {
+        error!("Wake-word engine init failed: {}", e);
+        app::close(1);
+    }
+
+    // shared async runtime for intent classification, IPC, etc.
+    let rt = Arc::new(
+        tokio::runtime::Runtime::new().expect("Failed to create tokio runtime")
+    );
+
+    // init intent-recognition engine
+    rt.block_on(async {
+        if let Err(e) = intent::init(COMMANDS_LIST.get().unwrap()).await {
+            error!("Failed to initialize intent classifier: {}", e);
+            app::close(1);
+        }
+    });
+
+    // init slots parsing engine
+    slots::init().map_err(|e| error!("Slot extraction init failed: {}", e)).ok();
+
+    // init audio processing
+    info!("Initializing audio processing...");
+    if let Err(e) = audio_processing::init() {
+        warn!("Audio processing init failed: {}", e);
+    }
+
+    // init IPC
+    info!("Initializing IPC...");
+    ipc::init();
+
+    // channel for text commands (manually written in the GUI)
+    let (text_cmd_tx, text_cmd_rx) = mpsc::channel::<String>();
+
+    ipc::set_action_handler(move |action| {
+        match action {
+            IpcAction::Stop => {
+                info!("Received stop command from GUI");
+                SHOULD_STOP.store(true, Ordering::SeqCst);
+            }
+            IpcAction::ReloadCommands => {
+                info!("Received reload commands request");
+                // TODO: implement reload
+            }
+            IpcAction::SetMuted { muted } => {
+                info!("Received mute request: {}", muted);
+                // TODO: implement mute
+            }
+            IpcAction::TextCommand { text } => {
+                info!("Received text command: {}", text);
+                if let Err(e) = text_cmd_tx.send(text) {
+                    error!("Failed to send text command to app: {}", e);
+                }
+            }
+            IpcAction::Ping => {
+                // handled internally by server
+            }
+            _ => {}
+        }
+    });
+
+    // start WebSocket server on the shared runtime
+    let ipc_rt = Arc::clone(&rt);
+    std::thread::spawn(move || {
+        ipc_rt.block_on(ipc::start_server());
+    });
+    
+    // start the app (in the background thread)
+    let app_rt = Arc::clone(&rt);
+    std::thread::spawn(move || {
+        let _ = app::start(text_cmd_rx, &app_rt);
+    });
+
+    tray::init_blocking(settings);
+
+    Ok(())
+}
+
+pub fn should_stop() -> bool {
+    SHOULD_STOP.load(Ordering::SeqCst)
+}

crates/jarvis-app/src/tray.rs

@@ -0,0 +1,226 @@
+mod menu;
+
+use tray_icon::{
+    menu::MenuEvent,
+    TrayIconBuilder,
+};
+use image;
+use std::process::Command;
+
+#[cfg(target_os="windows")]
+use winit::platform::windows::EventLoopBuilderExtWindows;
+
+use jarvis_core::{config, i18n, voices, ipc::{self, IpcEvent}, SettingsManager};
+
+const TRAY_ICON_BYTES: &[u8] = include_bytes!("../../../resources/icons/32x32.png");
+
+pub fn init_blocking(settings: SettingsManager) {
+    let icon = load_icon_from_bytes(TRAY_ICON_BYTES);
+
+    // build menu with settings submenus
+    let tray_menu = menu::build(&settings);
+    let menu::TrayMenu { menu, state: tray_state } = tray_menu;
+
+    let _tray_icon = TrayIconBuilder::new()
+        .with_menu(Box::new(menu))
+        .with_tooltip(i18n::t("tray-tooltip"))
+        .with_icon(icon)
+        .build()
+        .unwrap();
+
+    let menu_channel = MenuEvent::receiver();
+
+    #[cfg(target_os = "linux")]
+    {
+        gtk::init().unwrap();
+        glib::timeout_add_local(std::time::Duration::from_millis(100), move || {
+            if let Ok(event) = menu_channel.try_recv() {
+                handle_menu_event(&event, &settings, &tray_state);
+            }
+            glib::ControlFlow::Continue
+        });
+        gtk::main();
+    }
+
+    #[cfg(target_os = "macos")]
+    {
+        use winit::event_loop::{EventLoop, ControlFlow};
+        let event_loop = EventLoop::new().unwrap();
+        event_loop.run(move |_event, elwt| {
+            elwt.set_control_flow(ControlFlow::Wait);
+            if let Ok(event) = menu_channel.try_recv() {
+                handle_menu_event(&event, &settings, &tray_state);
+            }
+        }).unwrap();
+    }
+
+    #[cfg(target_os = "windows")]
+    {
+        loop {
+            if let Ok(event) = menu_channel.try_recv() {
+                handle_menu_event(&event, &settings, &tray_state);
+            }
+            
+            // pump Windows messages
+            unsafe {
+                let mut msg: winapi::um::winuser::MSG = std::mem::zeroed();
+                while winapi::um::winuser::PeekMessageW(
+                    &mut msg, 
+                    std::ptr::null_mut(), 
+                    0, 0, 
+                    winapi::um::winuser::PM_REMOVE
+                ) != 0 {
+                    winapi::um::winuser::TranslateMessage(&msg);
+                    winapi::um::winuser::DispatchMessageW(&msg);
+                }
+            }
+            std::thread::sleep(std::time::Duration::from_millis(50));
+        }
+    }
+
+    info!("Tray initialized.");
+}
+
+fn handle_menu_event(event: &MenuEvent, settings: &SettingsManager, tray_state: &menu::TrayState) {
+    let id = event.id.0.as_str();
+
+    // -- radio group: "set:key:value"
+    if let Some(rest) = id.strip_prefix("set:") {
+        if let Some((key, value)) = rest.split_once(':') {
+            match settings.write(key, value) {
+                Ok(()) => {
+                    info!("Tray: {} = {}", key, value);
+
+                    // update check marks in the radio group
+                    for group in &tray_state.radio_groups {
+                        if group.setting_key == key {
+                            group.select(value);
+                            break;
+                        }
+                    }
+
+                    // apply side effects
+                    match key {
+                        "language" => {
+                            i18n::set_language(value);
+                        }
+                        "assistant_voice" => {
+                            voices::set_current_voice(value);
+                        }
+                        _ => {}
+                    }
+                }
+                Err(e) => {
+                    warn!("Tray: failed to set {} = {}: {}", key, value, e);
+                }
+            }
+            return;
+        }
+    }
+
+    // -- toggle: "toggle:key"
+    if let Some(key) = id.strip_prefix("toggle:") {
+        match key {
+            "gain_normalizer" => {
+                // CheckMenuItem auto-toggles on click, just read the new state
+                let new_val = tray_state.gain_toggle.is_checked();
+                let val_str = if new_val { "true" } else { "false" };
+                if let Err(e) = settings.write(key, val_str) {
+                    warn!("Tray: failed to toggle {}: {}", key, e);
+                    // revert visual state on error
+                    tray_state.gain_toggle.set_checked(!new_val);
+                } else {
+                    info!("Tray: {} = {}", key, val_str);
+                }
+            }
+            _ => {}
+        }
+        return;
+    }
+
+    // -- action items
+    match id {
+        "exit" => std::process::exit(0),
+        "restart" => {
+            info!("Restarting from tray menu...");
+            restart_app();
+        }
+        "settings" => {
+            info!("Opening settings from tray menu...");
+            open_settings();
+        }
+        _ => {}
+    }
+}
+
+// HELPERS
+
+fn load_icon_from_bytes(bytes: &[u8]) -> tray_icon::Icon {
+    let image = image::load_from_memory(bytes)
+        .expect("Failed to load icon")
+        .into_rgba8();
+    let (width, height) = image.dimensions();
+    let rgba = image.into_raw();
+    tray_icon::Icon::from_rgba(rgba, width, height).expect("Failed to create icon")
+}
+
+fn restart_app() {
+    let exe_path = match std::env::current_exe() {
+        Ok(path) => path,
+        Err(e) => {
+            error!("Failed to get executable path: {}", e);
+            return;
+        }
+    };
+    
+    match Command::new(&exe_path).spawn() {
+        Ok(_) => {
+            info!("Spawned new instance, exiting current...");
+            std::process::exit(0);
+        }
+        Err(e) => {
+            error!("Failed to restart: {}", e);
+        }
+    }
+}
+
+fn open_settings() {
+    if ipc::has_clients() {
+        info!("GUI is connected, sending reveal event");
+        ipc::send(IpcEvent::RevealWindow);
+    } else {
+        info!("GUI not connected, launching jarvis-gui");
+        launch_gui();
+    }
+}
+
+fn launch_gui() {
+    let exe_path = match std::env::current_exe() {
+        Ok(path) => path,
+        Err(e) => {
+            error!("Failed to get executable path: {}", e);
+            return;
+        }
+    };
+    
+    let gui_path = exe_path.parent()
+        .map(|p| p.join(get_gui_executable_name()))
+        .unwrap_or_else(|| get_gui_executable_name().into());
+    
+    info!("Launching GUI: {:?}", gui_path);
+    
+    match Command::new(&gui_path).spawn() {
+        Ok(_) => info!("Launched jarvis-gui"),
+        Err(e) => error!("Failed to launch jarvis-gui: {}", e),
+    }
+}
+
+#[cfg(target_os = "windows")]
+fn get_gui_executable_name() -> &'static str {
+    "jarvis-gui.exe"
+}
+
+#[cfg(not(target_os = "windows"))]
+fn get_gui_executable_name() -> &'static str {
+    "jarvis-gui"
+}

crates/jarvis-app/src/tray/menu.rs

@@ -0,0 +1,182 @@
+use tray_icon::menu::{CheckMenuItem, Menu, MenuItem, PredefinedMenuItem, Submenu};
+
+use jarvis_core::{i18n, voices, SettingsManager};
+use jarvis_core::config::structs::{WakeWordEngine, NoiseSuppressionBackend};
+
+// RADIO GROUP
+
+// a group of check menu items where only one can be active at a time.
+// stores (menu_item, setting_value) pairs.
+pub struct RadioGroup {
+    pub setting_key: String,
+    pub items: Vec<(CheckMenuItem, String)>,
+}
+
+impl RadioGroup {
+    pub fn select(&self, value: &str) {
+        for (item, val) in &self.items {
+            item.set_checked(val == value);
+        }
+    }
+}
+
+// TRAY MENU STATE
+
+pub struct TrayMenu {
+    pub menu: Menu,
+    pub state: TrayState,
+}
+
+// holds references to menu items for updating check marks after build
+pub struct TrayState {
+    pub radio_groups: Vec<RadioGroup>,
+    pub gain_toggle: CheckMenuItem,
+}
+
+// BUILD
+
+pub fn build(settings: &SettingsManager) -> TrayMenu {
+    let menu = Menu::new();
+
+    let mut radio_groups = Vec::new();
+
+    // -- language submenu
+    let lang_sub = Submenu::new(i18n::t("tray-language"), true);
+    let current_lang = settings.read("language").unwrap_or_default();
+    let mut lang_items = Vec::new();
+    for &lang in i18n::SUPPORTED_LANGUAGES {
+        let label = match lang {
+            "ru" => "Русский",
+            "en" => "English",
+            "ua" => "Українська",
+            _ => lang,
+        };
+        let item = CheckMenuItem::with_id(
+            format!("set:language:{}", lang),
+            label,
+            true,
+            lang == current_lang,
+            None,
+        );
+        let _ = lang_sub.append(&item);
+        lang_items.push((item, lang.to_string()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "language".to_string(),
+        items: lang_items,
+    });
+
+    // -- voice submenu
+    let voice_sub = Submenu::new(i18n::t("tray-voice"), true);
+    let current_voice = voices::get_current_voice()
+        .map(|v| v.voice.id.clone())
+        .unwrap_or_default();
+    let mut voice_items = Vec::new();
+    for voice in voices::list_voices() {
+        let item = CheckMenuItem::with_id(
+            format!("set:assistant_voice:{}", voice.voice.id),
+            &voice.voice.name,
+            true,
+            voice.voice.id == current_voice,
+            None,
+        );
+        let _ = voice_sub.append(&item);
+        voice_items.push((item, voice.voice.id.clone()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "assistant_voice".to_string(),
+        items: voice_items,
+    });
+
+    // -- wake word engine submenu
+    let ww_sub = Submenu::new(i18n::t("tray-wake-word"), true);
+    let current_ww = settings.read("selected_wake_word_engine").unwrap_or_default();
+    let mut ww_items = Vec::new();
+    for (label, value) in &[("Rustpotter", "Rustpotter"), ("Vosk", "Vosk")] {
+        let item = CheckMenuItem::with_id(
+            format!("set:selected_wake_word_engine:{}", value.to_lowercase()),
+            *label,
+            true,
+            current_ww == *label,
+            None,
+        );
+        let _ = ww_sub.append(&item);
+        ww_items.push((item, value.to_lowercase()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "selected_wake_word_engine".to_string(),
+        items: ww_items,
+    });
+
+    // -- noise suppression submenu
+    let ns_sub = Submenu::new(i18n::t("tray-noise-suppression"), true);
+    let current_ns = settings.read("noise_suppression").unwrap_or_default();
+    let mut ns_items = Vec::new();
+    for (label, value) in &[("None", "none"), ("Nnnoiseless", "nnnoiseless")] {
+        let item = CheckMenuItem::with_id(
+            format!("set:noise_suppression:{}", value),
+            *label,
+            true,
+            current_ns.to_lowercase() == *value,
+            None,
+        );
+        let _ = ns_sub.append(&item);
+        ns_items.push((item, value.to_string()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "noise_suppression".to_string(),
+        items: ns_items,
+    });
+
+    // -- vad submenu
+    let vad_sub = Submenu::new(i18n::t("tray-vad"), true);
+    let current_vad = settings.read("vad_backend").unwrap_or_default();
+    let mut vad_items = Vec::new();
+    for (label, value) in &[("None", "none"), ("Energy", "energy"), ("Nnnoiseless", "nnnoiseless")] {
+        let item = CheckMenuItem::with_id(
+            format!("set:vad_backend:{}", value),
+            *label,
+            true,
+            current_vad == *value,
+            None,
+        );
+        let _ = vad_sub.append(&item);
+        vad_items.push((item, value.to_string()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "vad_backend".to_string(),
+        items: vad_items,
+    });
+
+    // -- gain normalizer toggle
+    let gain_on = settings.read("gain_normalizer")
+        .map(|v| v == "true")
+        .unwrap_or(true);
+    let gain_toggle = CheckMenuItem::with_id(
+        "toggle:gain_normalizer",
+        i18n::t("tray-gain-normalizer"),
+        true,
+        gain_on,
+        None,
+    );
+
+    // -- assemble main menu
+    let _ = menu.append(&lang_sub);
+    let _ = menu.append(&voice_sub);
+    let _ = menu.append(&ww_sub);
+    let _ = menu.append(&ns_sub);
+    let _ = menu.append(&vad_sub);
+    let _ = menu.append(&gain_toggle);
+    let _ = menu.append(&PredefinedMenuItem::separator());
+    let _ = menu.append(&MenuItem::with_id("restart", i18n::t("tray-restart"), true, None));
+    let _ = menu.append(&MenuItem::with_id("settings", i18n::t("tray-settings"), true, None));
+    let _ = menu.append(&MenuItem::with_id("exit", i18n::t("tray-exit"), true, None));
+
+    TrayMenu {
+        menu,
+        state: TrayState {
+            radio_groups,
+            gain_toggle,
+        },
+    }
+}

crates/jarvis-cli/Cargo.toml

@@ -0,0 +1,14 @@
+[package]
+name = "jarvis-cli"
+version.workspace = true
+authors.workspace = true
+license.workspace = true
+repository.workspace = true
+edition.workspace = true
+
+[dependencies]
+jarvis-core = { path = "../jarvis-core", default-features = false, features = ["intent", "llm"]}
+tokio = { version = "1", features = ["rt-multi-thread", "sync", "macros"] }
+log.workspace = true
+env_logger = "0.11"
+parking_lot.workspace = true

crates/jarvis-cli/build.rs

@@ -0,0 +1,7 @@
+fn main() {
+    let manifest_dir = std::env::var("CARGO_MANIFEST_DIR").unwrap();
+    let lib_path = std::path::Path::new(&manifest_dir)
+        .join("..\\..\\lib\\windows\\amd64");
+
+    println!("cargo:rustc-link-search=native={}", lib_path.display());
+}

crates/jarvis-cli/src/main.rs

@@ -0,0 +1,246 @@
+use std::io::{self, Write};
+
+use jarvis_core::llm::{ChatMessage, LlmClient};
+use jarvis_core::{COMMANDS_LIST, DB, JCommandsList, commands, config, db, intent};
+
+const ASK_MAX_TOKENS: u32 = 512;
+
+fn print_help() {
+    println!("
+--## Jarvis CLI - Testing Tool ##--
+
+Commands:
+  classify <text>    - Test intent classification
+  execute <text>     - Simulate voice input and execute command
+  ask <prompt>       - Send prompt to Groq LLM and print reply
+  list               - List all loaded commands
+  phrases            - List all training phrases
+  hash               - Show commands hash
+  settings           - Dump all settings
+  help               - Show this help
+  exit               - Exit the CLI
+");
+}
+
+fn list_commands(commands: &[JCommandsList]) {
+    println!("\n[ Loaded Commands ]");
+    for cmd_list in commands {
+        println!("  📁 {}", cmd_list.path.display());
+        for cmd in &cmd_list.commands {
+            println!("     ├─ id: {}", cmd.id);
+            println!("     ├─ type: {}", cmd.cmd_type);
+            println!("     └─ phrases: {} languages", cmd.phrases.len());
+        }
+    }
+    println!();
+}
+
+fn list_phrases(commands: &[JCommandsList]) {
+    println!("\n[ Training Phrases ]");
+    for cmd_list in commands {
+        for cmd in &cmd_list.commands {
+            println!("  [{}]", cmd.id);
+            for (lang, phrases) in &cmd.phrases {
+                println!("    lang: {}", lang);
+                for phrase in phrases {
+                    println!("      - {}", phrase);
+                }
+            }
+        }
+    }
+    println!();
+}
+
+async fn classify_text(text: &str) {
+    match intent::classify(text).await {
+        Some((intent_id, confidence)) => {
+            println!("  ✓ Intent: {} (confidence: {:.2}%)", intent_id, confidence * 100.0);
+        }
+        None => {
+            println!("  ✗ No intent matched (below threshold)");
+        }
+    }
+}
+
+async fn execute_text(commands: &[JCommandsList], text: &str) {
+    // try intent classification first
+    if let Some((intent_id, confidence)) = intent::classify(text).await {
+        println!("  Intent: {} (confidence: {:.2}%)", intent_id, confidence * 100.0);
+        
+        if let Some((cmd_path, cmd)) = intent::get_command_by_intent(commands, &intent_id) {
+            println!("  Command: {:?}", cmd_path);
+            println!("  Type: {}", cmd.cmd_type);
+            println!("  Executing...");
+            
+            match commands::execute_command(cmd_path, cmd, Some(text), None) {
+                Ok(chain) => println!("  ✓ Success (chain: {})", chain),
+                Err(e) => println!("  ✗ Error: {}", e),
+            }
+            return;
+        }
+    }
+    
+    // fallback to levenshtein
+    println!("  Intent not matched, trying levenshtein fallback...");
+    if let Some((cmd_path, cmd)) = commands::fetch_command(text, commands) {
+        println!("  Command: {:?}", cmd_path);
+        println!("  Type: {}", cmd.cmd_type);
+        println!("  Executing...");
+        
+        match commands::execute_command(cmd_path, cmd, Some(text), None) {
+            Ok(chain) => println!("  ✓ Success (chain: {})", chain),
+            Err(e) => println!("  ✗ Error: {}", e),
+        }
+    } else {
+        println!("  ✗ No command matched");
+    }
+}
+
+fn ask_llm(prompt: &str) -> i32 {
+    let client = match LlmClient::from_env() {
+        Ok(c) => c,
+        Err(e) => {
+            eprintln!("LLM not configured: {}", e);
+            eprintln!("Set GROQ_TOKEN (and optionally GROQ_BASE_URL, GROQ_MODEL).");
+            return 2;
+        }
+    };
+    let messages = [ChatMessage::user(prompt)];
+    match client.complete(&messages, ASK_MAX_TOKENS) {
+        Ok(reply) => {
+            println!("{}", reply);
+            0
+        }
+        Err(e) => {
+            eprintln!("LLM request failed: {}", e);
+            1
+        }
+    }
+}
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let argv: Vec<String> = std::env::args().collect();
+    if argv.len() >= 2 && argv[1] == "ask" {
+        if argv.len() < 3 {
+            eprintln!("Usage: jarvis-cli ask <prompt>");
+            std::process::exit(2);
+        }
+        let prompt = argv[2..].join(" ");
+        std::process::exit(ask_llm(&prompt));
+    }
+
+    // init logging
+    env_logger::Builder::from_env(
+        env_logger::Env::default().default_filter_or("info")
+    ).init();
+
+    println!("Jarvis CLI v{}", config::APP_VERSION.unwrap_or("unknown"));
+
+    // init dirs
+    config::init_dirs()?;
+    
+    // init settings
+    let settings = db::init();
+    DB.set(settings.arc().clone())
+        .expect("DB already initialized");
+
+    // parse commands
+    println!("\n[*] Loading commands...");
+    let cmds = match commands::parse_commands() {
+        Ok(c) => {
+            println!("    Loaded {} command groups", c.len());
+            c
+        }
+        Err(e) => {
+            println!("    Warning: {}", e);
+            Vec::new()
+        }
+    };
+    COMMANDS_LIST.set(cmds).expect("Failed to set commands list");
+    
+    // init intent classifier
+    println!("[*] Initializing intent classifier...");
+    match intent::init(COMMANDS_LIST.get().unwrap()).await {
+        Ok(_) => println!("    Intent classifier ready"),
+        Err(e) => println!("    Warning: {}", e),
+    }
+    
+    // init sound
+    println!("[*] Initializing audio...");
+    if let Err(e) = jarvis_core::audio::init() {
+        println!("    Warning: Audio init failed: {:?}", e);
+    }
+
+    print_help();
+
+    // REPL loop
+    let mut input = String::new();
+    loop {
+        print!("jarvis> ");
+        io::stdout().flush()?;
+        
+        input.clear();
+        io::stdin().read_line(&mut input)?;
+        let input = input.trim();
+        
+        if input.is_empty() {
+            continue;
+        }
+        
+        let parts: Vec<&str> = input.splitn(2, ' ').collect();
+        let cmd = parts[0];
+        let arg = parts.get(1).copied().unwrap_or("");
+        
+        match cmd {
+            "exit" | "quit" | "q" => {
+                println!("Bye!");
+                break;
+            }
+            "help" | "h" | "?" => print_help(),
+            "list" | "ls" => list_commands(COMMANDS_LIST.get().unwrap()),
+            "phrases" => list_phrases(COMMANDS_LIST.get().unwrap()),
+            "hash" => {
+                let hash = commands::commands_hash(COMMANDS_LIST.get().unwrap());
+                println!("  Commands hash: {}", hash);
+            }
+            "settings" => {
+                println!("\n[ Current Settings ]");
+                for (key, val) in settings.dump() {
+                    println!("  {} = {}", key, val);
+                }
+                println!();
+            }
+            "classify" | "c" => {
+                if arg.is_empty() {
+                    println!("  Usage: classify <text>");
+                } else {
+                    classify_text(arg).await;
+                }
+            }
+            "execute" | "exec" | "e" => {
+                if arg.is_empty() {
+                    println!("  Usage: execute <text>");
+                } else {
+                    execute_text(COMMANDS_LIST.get().unwrap(), arg).await;
+                }
+            }
+            "ask" | "a" => {
+                if arg.is_empty() {
+                    println!("  Usage: ask <prompt>");
+                } else {
+                    ask_llm(arg);
+                }
+            }
+            "reload" => {
+                println!("  Note: Reload requires app restart (statics can't be reset)");
+            }
+            _ => {
+                // treat unknown commands as text to classify
+                classify_text(input).await;
+            }
+        }
+    }
+    
+    Ok(())
+}

crates/jarvis-core/Cargo.toml

@@ -0,0 +1,69 @@
+[package]
+name = "jarvis-core"
+version.workspace = true
+authors.workspace = true
+license.workspace = true
+repository.workspace = true
+edition.workspace = true
+
+[dependencies]
+serde.workspace = true
+serde_json.workspace = true
+serde_yaml.workspace = true
+once_cell.workspace = true
+log.workspace = true
+rand.workspace = true
+seqdiff.workspace = true
+hound.workspace = true
+platform-dirs.workspace = true
+rodio.workspace = true
+kira.workspace = true
+pv_recorder.workspace = true
+rustpotter.workspace = true
+parking_lot.workspace = true
+toml.workspace = true
+sha2.workspace = true
+nnnoiseless = { workspace = true, optional = true }
+webrtc-vad = { workspace = true, optional = true }
+tokio-tungstenite = { workspace = true, optional = true }
+futures-util = { workspace = true, optional = true }
+fluent.workspace = true
+fluent-bundle.workspace = true
+unic-langid.workspace = true
+chrono.workspace = true
+sys-locale.workspace = true
+
+# pv_recorder = { workspace = true, optional = true }
+vosk = { version = "0.3.1", optional = true }
+intent-classifier = { version = "0.1.0", optional = true }
+# rustpotter = { workspace = true, optional = true }
+
+tokio = { version = "1", features = ["sync"], optional = true }
+
+mlua = { workspace = true, optional = true }
+reqwest = { workspace = true, optional = true }
+thiserror = { workspace = true, optional = true }
+tempfile.workspace = true
+
+fastembed = { workspace = true, optional = true }
+ort = { workspace = true, optional = true }
+ndarray = { workspace = true, optional = true }
+tokenizers = { workspace = true, optional = true }
+regex = { workspace = true, optional = true }
+
+[target.'cfg(windows)'.dependencies]
+winrt-notification = { workspace = true, optional = true }
+
+[features]
+default = ["jarvis_app"]
+jarvis_app = [
+    "vosk", "intent-classifier", "fastembed", "tokio", "nnnoiseless", "tokio-tungstenite", "futures-util",
+    "lua", "llm",
+    "ort", "ndarray", "tokenizers", "regex",
+    "webrtc-vad",
+]
+
+intent = ["intent-classifier", "tokio"]
+lua = ["mlua", "reqwest", "winrt-notification"]
+lua_only = ["lua", "tokio"]
+llm = ["reqwest", "thiserror"]

crates/jarvis-core/src/audio.rs

@@ -0,0 +1,92 @@
+mod kira;
+mod rodio;
+
+use once_cell::sync::OnceCell;
+use std::path::PathBuf;
+
+use crate::config::structs::AudioType;
+use crate::{config, DB, SOUND_DIR};
+
+static AUDIO_TYPE: OnceCell<AudioType> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    if AUDIO_TYPE.get().is_some() {
+        return Ok(());
+    } // already initialized
+
+    // set default audio type
+    // @TODO. Make it configurable?
+    AUDIO_TYPE.set(config::DEFAULT_AUDIO_TYPE).unwrap();
+
+    // load given audio backend
+    match AUDIO_TYPE.get().unwrap() {
+        AudioType::Rodio => {
+            // Init Rodio
+            info!("Initializing Rodio audio backend.");
+
+            match rodio::init() {
+                Ok(_) => {
+                    info!("Successfully initialized Rodio audio backend.");
+                }
+                Err(()) => {
+                    error!("Failed to initialize Rodio audio backend.");
+
+                    return Err(());
+                }
+            }
+        }
+        AudioType::Kira => {
+            // Init Kira
+            info!("Initializing Kira audio backend.");
+
+            match kira::init() {
+                Ok(_) => {
+                    info!("Successfully initialized Kira audio backend.");
+                }
+                Err(_msg) => {
+                    error!("Failed to initialize Kira audio backend.");
+
+                    return Err(());
+                }
+            }
+        }
+    }
+
+    Ok(())
+}
+
+pub fn play_sound(filename: &PathBuf) {
+    let audio_type = match AUDIO_TYPE.get() {
+        Some(t) => t,
+        None => {
+            warn!("Audio not initialized, cannot play: {}", filename.display());
+            return;
+        }
+    };
+    
+    info!("Playing {}", filename.display());
+
+    match audio_type {
+        AudioType::Rodio => {
+            rodio::play_sound(filename, true);
+        }
+        AudioType::Kira => kira::play_sound(filename),
+    }
+}
+
+pub fn get_sound_directory() -> Option<PathBuf> {
+    let db = DB.get()?;
+
+    let voice_path = {
+        let s = db.read();
+        SOUND_DIR.join(&s.voice)
+    };
+
+    match voice_path.exists() {
+        true => Some(voice_path),
+        _ => {
+            error!("No sounds folder found. Search path - {:?}", voice_path);
+            None
+        }
+    }
+}

crates/jarvis-core/src/audio/kira.rs

@@ -0,0 +1,62 @@
+use once_cell::sync::OnceCell;
+use std::path::PathBuf;
+use std::sync::Mutex;
+
+// use kira::{
+//     manager::{backend::DefaultBackend, AudioManager, AudioManagerSettings},
+//     sound::static_sound::{StaticSoundData, StaticSoundSettings},
+// };
+
+use kira::{
+    AudioManager, AudioManagerSettings, DefaultBackend,
+    sound::static_sound::StaticSoundData,
+};
+
+static MANAGER: OnceCell<Mutex<AudioManager>> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    if MANAGER.get().is_some() {
+        return Ok(());
+    }  // already initialized
+
+    // Create an audio manager. This plays sounds and manages resources.
+    match AudioManager::<DefaultBackend>::new(AudioManagerSettings::default()) {
+        Ok(manager) => {
+            // store
+            MANAGER.set(Mutex::new(manager)).ok();
+
+            // success
+            Ok(())
+        }
+        Err(msg) => {
+            error!("Failed to initialize audio stream.\nError details: {}", msg);
+
+            // failed
+            Err(())
+        }
+    }
+}
+
+// @TODO. Cache sounds in memory? With a pool of a certain size, for instance.
+pub fn play_sound(filename: &PathBuf) {
+    // load the file
+    match StaticSoundData::from_file(filename) {
+        Ok(sound_data) => {
+            // sound_data.duration() can be used in order to sleep, if (for some reason) blocking behaviour is required
+
+            // play it (non-blocking)
+            if let Some(manager) = MANAGER.get() {
+                if let Ok(mut audio_manager) = manager.lock() {
+                    if let Err(e) = audio_manager.play(sound_data) {
+                        warn!("Failed to play sound: {}", e);
+                    }
+                }
+            } else {
+                warn!("Audio manager not initialized");
+            }
+        }
+        Err(err) => {
+            warn!("Cannot find sound file: {} (err: {})", filename.display(), err);
+        }
+    }
+}

crates/jarvis-core/src/audio/rodio.rs

@@ -0,0 +1,65 @@
+/*
+    Abandoned temporary.
+    Problems with blocking behaviour.
+    Possible fixes are running rodio in a separate thread or smthng.
+*/
+
+use once_cell::sync::OnceCell;
+use std::fs::File;
+use std::io::BufReader;
+use std::path::PathBuf;
+
+// use rodio::{Decoder, OutputStream, OutputStreamHandle, Sink};
+use rodio::{Decoder, OutputStream, Sink};
+
+// static STREAM: OnceCell<OutputStream> = OnceCell::new();
+static STREAM_HANDLE: OnceCell<OutputStream> = OnceCell::new();
+static SINK: OnceCell<Sink> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    if STREAM_HANDLE.get().is_some() {
+        return Ok(());
+    } // already initialized
+
+    // get output stream handle to the default physical sound device
+    match rodio::OutputStreamBuilder::open_default_stream() {
+        Ok(stream_handle) => {
+            // create sink
+            let sink = Sink::connect_new(&stream_handle.mixer());
+            info!("Sink initialized.");
+
+            // store
+            // STREAM.set(_stream).unwrap();
+            let _ = STREAM_HANDLE.set(stream_handle);
+            let _ = SINK.set(sink);
+
+            // success
+            Ok(())
+        }
+        Err(msg) => {
+            error!("Failed to initialize audio stream.\nError details: {}", msg);
+
+            // failed
+            Err(())
+        }
+    }
+}
+
+pub fn play_sound(filename: &PathBuf, sleep: bool) {
+    // Load a sound from a file, using a path relative to Cargo.toml
+    // let filepath = format!("{PUBLIC_PATH}/sound/{filename}.wav");
+    let file = BufReader::new(File::open(&filename).unwrap());
+
+    // Decode that sound file into a source
+    let source = Decoder::new(file).unwrap();
+
+    // Play the sound directly on the device
+    // STREAM_HANDLE.get().unwrap().play_raw(source.convert_samples());
+    SINK.get().unwrap().append(source);
+
+    if sleep {
+        // The sound plays in a separate thread. This call will block the current thread until the sink
+        // has finished playing all its queued sounds.
+        SINK.get().unwrap().sleep_until_end();
+    }
+}

crates/jarvis-core/src/audio_buffer.rs

@@ -0,0 +1,41 @@
+use std::collections::VecDeque;
+
+pub struct AudioRingBuffer {
+    buffer: VecDeque<Vec<i16>>,
+    max_frames: usize,
+}
+
+impl AudioRingBuffer {
+    // Create buffer that holds `seconds` worth of audio at given frame_size and sample_rate
+    pub fn new(seconds: f32, frame_size: usize, sample_rate: usize) -> Self {
+        let frames_per_second = sample_rate / frame_size;
+        let max_frames = (frames_per_second as f32 * seconds) as usize;
+        
+        Self {
+            buffer: VecDeque::with_capacity(max_frames),
+            max_frames,
+        }
+    }
+    
+    // Push a frame, dropping oldest if full
+    pub fn push(&mut self, frame: &[i16]) {
+        if self.buffer.len() >= self.max_frames {
+            self.buffer.pop_front();
+        }
+        self.buffer.push_back(frame.to_vec());
+    }
+    
+    // Drain all buffered frames into a single vec
+    pub fn drain_all(&mut self) -> Vec<Vec<i16>> {
+        self.buffer.drain(..).collect()
+    }
+    
+    // Get frame count
+    pub fn len(&self) -> usize {
+        self.buffer.len()
+    }
+    
+    pub fn clear(&mut self) {
+        self.buffer.clear();
+    }
+}

crates/jarvis-core/src/audio_processing.rs

@@ -0,0 +1,117 @@
+pub mod noise_suppression;
+pub mod vad;
+pub mod gain_normalizer;
+
+use once_cell::sync::OnceCell;
+use parking_lot::Mutex;
+
+use crate::config::structs::NoiseSuppressionBackend;
+use crate::DB;
+
+static PROCESSOR: OnceCell<Mutex<AudioProcessor>> = OnceCell::new();
+
+#[derive(Debug, Clone)]
+pub struct ProcessedAudio {
+    pub samples: Vec<i16>,
+    pub is_voice: bool,
+    pub vad_confidence: f32,
+}
+
+struct AudioProcessor {
+    has_gain: bool,
+    has_ns: bool,
+}
+
+impl AudioProcessor {
+    fn new(ns: NoiseSuppressionBackend, gain: bool) -> Self {
+        noise_suppression::init(ns);
+        vad::init();
+        if gain {
+            gain_normalizer::init();
+        }
+
+        Self {
+            has_gain: gain,
+            has_ns: !matches!(ns, NoiseSuppressionBackend::None),
+        }
+    }
+
+    fn process(&mut self, input: &[i16]) -> ProcessedAudio {
+        let gained: Vec<i16>;
+        let after_gain: &[i16] = if self.has_gain {
+            gained = gain_normalizer::normalize(input);
+            &gained
+        } else {
+            input
+        };
+
+        let suppressed: Vec<i16>;
+        let after_ns: &[i16] = if self.has_ns {
+            suppressed = noise_suppression::process(after_gain);
+            &suppressed
+        } else {
+            after_gain
+        };
+
+        let (is_voice, confidence) = vad::detect(after_ns);
+
+        ProcessedAudio {
+            samples: after_ns.to_vec(),
+            is_voice,
+            vad_confidence: confidence,
+        }
+    }
+
+    fn reset(&mut self) {
+        noise_suppression::reset();
+        vad::reset();
+        gain_normalizer::reset();
+    }
+}
+
+pub fn init() -> Result<(), String> {
+    if PROCESSOR.get().is_some() {
+        return Ok(());
+    }
+
+    let (ns, gain) = get_settings();
+    info!("Initializing audio processing: NS={:?}, Gain={}", ns, gain);
+
+    let processor = AudioProcessor::new(ns, gain);
+    PROCESSOR
+        .set(Mutex::new(processor))
+        .map_err(|_| "Audio processor already initialized".to_string())?;
+
+    info!("Audio processing initialized.");
+    Ok(())
+}
+
+pub fn process(input: &[i16]) -> ProcessedAudio {
+    match PROCESSOR.get() {
+        Some(p) => p.lock().process(input),
+        None => ProcessedAudio {
+            samples: input.to_vec(),
+            is_voice: true,
+            vad_confidence: 1.0,
+        },
+    }
+}
+
+pub fn reset() {
+    if let Some(p) = PROCESSOR.get() {
+        p.lock().reset();
+    }
+}
+
+fn get_settings() -> (NoiseSuppressionBackend, bool) {
+    match DB.get() {
+        Some(db) => {
+            let settings = db.read();
+            (settings.noise_suppression, settings.gain_normalizer)
+        }
+        None => (
+            crate::config::DEFAULT_NOISE_SUPPRESSION,
+            crate::config::DEFAULT_GAIN_NORMALIZER,
+        ),
+    }
+}

crates/jarvis-core/src/audio_processing/gain_normalizer.rs

@@ -0,0 +1,28 @@
+mod simple;
+
+use once_cell::sync::OnceCell;
+use parking_lot::Mutex;
+
+static NORMALIZER: OnceCell<Mutex<simple::GainNormalizer>> = OnceCell::new();
+
+pub fn init() {
+    if NORMALIZER.get().is_some() {
+        return;
+    }
+
+    NORMALIZER.set(Mutex::new(simple::GainNormalizer::new())).ok();
+    info!("Gain normalizer: enabled");
+}
+
+pub fn normalize(input: &[i16]) -> Vec<i16> {
+    match NORMALIZER.get() {
+        Some(n) => n.lock().normalize(input),
+        None => input.to_vec(),
+    }
+}
+
+pub fn reset() {
+    if let Some(n) = NORMALIZER.get() {
+        n.lock().reset();
+    }
+}

crates/jarvis-core/src/audio_processing/gain_normalizer/simple.rs

@@ -0,0 +1,47 @@
+use crate::config;
+
+pub struct GainNormalizer {
+    current_gain: f32,
+}
+
+impl GainNormalizer {
+    pub fn new() -> Self {
+        Self { current_gain: 1.0 }
+    }
+
+    pub fn normalize(&mut self, input: &[i16]) -> Vec<i16> {
+        let rms = self.calculate_rms(input);
+        
+        if rms < 1.0 {
+            return input.to_vec();
+        }
+
+        let target_gain = config::GAIN_TARGET_RMS / rms;
+        let clamped_gain = target_gain.clamp(config::GAIN_MIN, config::GAIN_MAX);
+
+        self.current_gain = self.current_gain * 0.9 + clamped_gain * 0.1;
+
+        input.iter()
+            .map(|&s| {
+                let amplified = (s as f32) * self.current_gain;
+                amplified.clamp(i16::MIN as f32, i16::MAX as f32) as i16
+            })
+            .collect()
+    }
+
+    pub fn reset(&mut self) {
+        self.current_gain = 1.0;
+    }
+
+    fn calculate_rms(&self, samples: &[i16]) -> f32 {
+        if samples.is_empty() {
+            return 0.0;
+        }
+
+        let sum: f64 = samples.iter()
+            .map(|&s| (s as f64).powi(2))
+            .sum();
+
+        (sum / samples.len() as f64).sqrt() as f32
+    }
+}

crates/jarvis-core/src/audio_processing/noise_suppression.rs

@@ -0,0 +1,65 @@
+mod none;
+
+use once_cell::sync::OnceCell;
+use parking_lot::Mutex;
+
+use crate::config::structs::NoiseSuppressionBackend;
+
+static BACKEND: OnceCell<NoiseSuppressionBackend> = OnceCell::new();
+
+#[cfg(feature = "nnnoiseless")]
+static NNNOISELESS_STATE: OnceCell<Mutex<crate::models::nnnoiseless::NnnoiselessNS>> = OnceCell::new();
+
+pub fn init(backend: NoiseSuppressionBackend) {
+    if BACKEND.get().is_some() {
+        return;
+    }
+
+    // fallback if nnnoiseless not compiled in
+    #[cfg(not(feature = "nnnoiseless"))]
+    if matches!(backend, NoiseSuppressionBackend::Nnnoiseless) {
+        warn!("Nnnoiseless not compiled in, falling back to None");
+        backend = NoiseSuppressionBackend::None;
+    }
+
+    BACKEND.set(backend).ok();
+
+    match backend {
+        NoiseSuppressionBackend::None => {
+            info!("Noise suppression: disabled");
+        }
+        #[cfg(feature = "nnnoiseless")]
+        NoiseSuppressionBackend::Nnnoiseless => {
+            NNNOISELESS_STATE.set(Mutex::new(crate::models::nnnoiseless::NnnoiselessNS::new())).ok();
+            info!("Noise suppression: Nnnoiseless");
+        }
+        #[cfg(not(feature = "nnnoiseless"))]
+        _ => {}
+    }
+}
+
+pub fn process(input: &[i16]) -> Vec<i16> {
+    match BACKEND.get() {
+        #[cfg(feature = "nnnoiseless")]
+        Some(NoiseSuppressionBackend::Nnnoiseless) => {
+            if let Some(state) = NNNOISELESS_STATE.get() {
+                state.lock().process(input)
+            } else {
+                none::process(input)
+            }
+        }
+        _ => none::process(input),
+    }
+}
+
+pub fn reset() {
+    match BACKEND.get() {
+        #[cfg(feature = "nnnoiseless")]
+        Some(NoiseSuppressionBackend::Nnnoiseless) => {
+            if let Some(state) = NNNOISELESS_STATE.get() {
+                state.lock().reset();
+            }
+        }
+        _ => {}
+    }
+}

crates/jarvis-core/src/audio_processing/noise_suppression/none.rs

@@ -0,0 +1,4 @@
+// return unprocessed input
+pub fn process(input: &[i16]) -> Vec<i16> {
+    input.to_vec()
+}

crates/jarvis-core/src/audio_processing/vad.rs

@@ -0,0 +1,75 @@
+mod none;
+mod energy;
+pub mod listen_window;
+#[cfg(feature = "webrtc-vad")]
+pub mod webrtc;
+
+use once_cell::sync::OnceCell;
+use parking_lot::Mutex;
+
+use crate::DB;
+
+static BACKEND: OnceCell<String> = OnceCell::new();
+
+#[cfg(feature = "nnnoiseless")]
+static NNNOISELESS_STATE: OnceCell<Mutex<crate::models::nnnoiseless::NnnoiselessVAD>> = OnceCell::new();
+
+pub fn init() {
+    if BACKEND.get().is_some() {
+        return;
+    }
+
+    let backend = DB.get()
+        .map(|db| db.read().vad_backend.clone())
+        .unwrap_or_else(|| "energy".to_string());
+
+    BACKEND.set(backend.clone()).ok();
+
+    match backend.as_str() {
+        "none" => {
+            info!("VAD: disabled");
+        }
+        "energy" => {
+            info!("VAD: Energy-based");
+        }
+        #[cfg(feature = "nnnoiseless")]
+        "nnnoiseless" => {
+            NNNOISELESS_STATE.set(Mutex::new(crate::models::nnnoiseless::NnnoiselessVAD::new())).ok();
+            info!("VAD: Nnnoiseless");
+        }
+        other => {
+            warn!("Unknown VAD backend '{}', falling back to energy", other);
+            // overwrite with energy
+            // (BACKEND already set, so energy::detect will be used via fallthrough)
+        }
+    }
+}
+
+// returns (is_voice, confidence)
+pub fn detect(input: &[i16]) -> (bool, f32) {
+    match BACKEND.get().map(|s| s.as_str()) {
+        Some("none") | None => none::detect(input),
+        Some("energy") => energy::detect(input),
+        #[cfg(feature = "nnnoiseless")]
+        Some("nnnoiseless") => {
+            if let Some(state) = NNNOISELESS_STATE.get() {
+                state.lock().detect(input)
+            } else {
+                energy::detect(input)
+            }
+        }
+        _ => energy::detect(input),
+    }
+}
+
+pub fn reset() {
+    match BACKEND.get().map(|s| s.as_str()) {
+        #[cfg(feature = "nnnoiseless")]
+        Some("nnnoiseless") => {
+            if let Some(state) = NNNOISELESS_STATE.get() {
+                state.lock().reset();
+            }
+        }
+        _ => {}
+    }
+}

crates/jarvis-core/src/audio_processing/vad/energy.rs

@@ -0,0 +1,24 @@
+use crate::config;
+
+// Simple energy-based VAD
+pub fn detect(input: &[i16]) -> (bool, f32) {
+    let rms = calculate_rms(input);
+    let is_voice = rms > config::VAD_ENERGY_THRESHOLD;
+    
+    // normalize confidence to 0-1 range (rough approximation)
+    let confidence = (rms / (config::VAD_ENERGY_THRESHOLD * 2.0)).min(1.0);
+    
+    (is_voice, confidence)
+}
+
+fn calculate_rms(samples: &[i16]) -> f32 {
+    if samples.is_empty() {
+        return 0.0;
+    }
+    
+    let sum: f64 = samples.iter()
+        .map(|&s| (s as f64).powi(2))
+        .sum();
+    
+    (sum / samples.len() as f64).sqrt() as f32
+}

crates/jarvis-core/src/audio_processing/vad/listen_window.rs

@@ -0,0 +1,135 @@
+use crate::config;
+
+#[derive(Debug, Clone, Copy, PartialEq, Eq)]
+pub enum WindowDecision {
+    KeepListening,
+    Close,
+    HardCap,
+}
+
+#[derive(Debug, Clone)]
+pub struct ListenWindow {
+    frame_ms: u32,
+    elapsed_ms: u32,
+    speech_ms: u32,
+    silence_ms: u32,
+    end_silence_ms: u32,
+    min_speech_ms: u32,
+    min_listen_ms: u32,
+    max_listen_ms: u32,
+}
+
+impl ListenWindow {
+    pub fn new(frame_ms: u32) -> Self {
+        Self::with_params(
+            frame_ms,
+            config::VAD_COMMAND_END_SILENCE_MS,
+            config::VAD_COMMAND_MIN_SPEECH_MS,
+            config::VAD_COMMAND_MIN_LISTEN_MS,
+            config::VAD_COMMAND_MAX_LISTEN_MS,
+        )
+    }
+
+    pub fn with_params(
+        frame_ms: u32,
+        end_silence_ms: u32,
+        min_speech_ms: u32,
+        min_listen_ms: u32,
+        max_listen_ms: u32,
+    ) -> Self {
+        Self {
+            frame_ms,
+            elapsed_ms: 0,
+            speech_ms: 0,
+            silence_ms: 0,
+            end_silence_ms,
+            min_speech_ms,
+            min_listen_ms,
+            max_listen_ms,
+        }
+    }
+
+    pub fn push(&mut self, is_speech: bool) -> WindowDecision {
+        self.elapsed_ms = self.elapsed_ms.saturating_add(self.frame_ms);
+
+        if is_speech {
+            self.speech_ms = self.speech_ms.saturating_add(self.frame_ms);
+            self.silence_ms = 0;
+        } else {
+            self.silence_ms = self.silence_ms.saturating_add(self.frame_ms);
+        }
+
+        if self.elapsed_ms >= self.max_listen_ms {
+            return WindowDecision::HardCap;
+        }
+        if self.elapsed_ms < self.min_listen_ms {
+            return WindowDecision::KeepListening;
+        }
+        if self.speech_ms >= self.min_speech_ms && self.silence_ms >= self.end_silence_ms {
+            return WindowDecision::Close;
+        }
+        WindowDecision::KeepListening
+    }
+
+    pub fn elapsed_ms(&self) -> u32 { self.elapsed_ms }
+    pub fn speech_ms(&self) -> u32 { self.speech_ms }
+    pub fn silence_ms(&self) -> u32 { self.silence_ms }
+
+    pub fn had_speech(&self) -> bool { self.speech_ms > 0 }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    fn run(verdicts: &[bool]) -> (WindowDecision, usize) {
+        let mut w = ListenWindow::with_params(30, 1200, 500, 1000, 15000);
+        for (i, &v) in verdicts.iter().enumerate() {
+            let d = w.push(v);
+            if d != WindowDecision::KeepListening {
+                return (d, i + 1);
+            }
+        }
+        (WindowDecision::KeepListening, verdicts.len())
+    }
+
+    #[test]
+    fn closes_after_speech_then_silence() {
+        let speech: Vec<bool> = std::iter::repeat(true).take(40).collect();
+        let silence: Vec<bool> = std::iter::repeat(false).take(60).collect();
+        let mut v = speech;
+        v.extend(silence);
+
+        let (decision, frame_idx) = run(&v);
+        assert_eq!(decision, WindowDecision::Close);
+        let elapsed_ms = (frame_idx as u32) * 30;
+        let speech_ms = 40 * 30;
+        assert!(elapsed_ms >= speech_ms + 1200, "closed at {} ms, expected >= {}", elapsed_ms, speech_ms + 1200);
+        assert!(elapsed_ms <= speech_ms + 1200 + 30, "closed too late at {} ms", elapsed_ms);
+    }
+
+    #[test]
+    fn does_not_close_before_min_listen_even_with_long_silence() {
+        let v: Vec<bool> = std::iter::repeat(false).take(100).collect();
+        let mut w = ListenWindow::with_params(30, 1200, 500, 1000, 15000);
+        for &x in v.iter().take(33) {
+            assert_eq!(w.push(x), WindowDecision::KeepListening);
+        }
+        assert!(w.elapsed_ms() <= 1000);
+    }
+
+    #[test]
+    fn hard_cap_fires_at_max_listen() {
+        let v: Vec<bool> = std::iter::repeat(true).take(1000).collect();
+        let (decision, frame_idx) = run(&v);
+        assert_eq!(decision, WindowDecision::HardCap);
+        assert_eq!((frame_idx as u32) * 30, 15000);
+    }
+
+    #[test]
+    fn silence_only_does_not_close_keeps_waiting_until_hard_cap() {
+        let v: Vec<bool> = std::iter::repeat(false).take(600).collect();
+        let (decision, _) = run(&v);
+        assert_eq!(decision, WindowDecision::HardCap);
+    }
+}

crates/jarvis-core/src/audio_processing/vad/none.rs

@@ -0,0 +1,4 @@
+// Always returns voice detected (no vad)
+pub fn detect(_input: &[i16]) -> (bool, f32) {
+    (true, 1.0)
+}

crates/jarvis-core/src/audio_processing/vad/webrtc.rs

@@ -0,0 +1,49 @@
+use webrtc_vad::{SampleRate, Vad, VadMode};
+
+use crate::config;
+
+pub const FRAME_SAMPLES: usize = 480;
+pub const FRAME_MS: u32 = 30;
+
+pub struct WebRtcVad {
+    inner: Vad,
+    buf: Vec<i16>,
+}
+
+impl WebRtcVad {
+    pub fn new() -> Self {
+        Self::with_aggressiveness(config::VAD_AGGRESSIVENESS)
+    }
+
+    pub fn with_aggressiveness(level: u8) -> Self {
+        let mode = match level {
+            0 => VadMode::Quality,
+            1 => VadMode::LowBitrate,
+            2 => VadMode::Aggressive,
+            _ => VadMode::VeryAggressive,
+        };
+        Self {
+            inner: Vad::new_with_rate_and_mode(SampleRate::Rate16kHz, mode),
+            buf: Vec::with_capacity(FRAME_SAMPLES * 2),
+        }
+    }
+
+    pub fn push_samples(&mut self, samples: &[i16]) -> Vec<bool> {
+        self.buf.extend_from_slice(samples);
+        let mut out = Vec::new();
+        while self.buf.len() >= FRAME_SAMPLES {
+            let frame: Vec<i16> = self.buf.drain(..FRAME_SAMPLES).collect();
+            let is_speech = self.inner.is_voice_segment(&frame).unwrap_or(false);
+            out.push(is_speech);
+        }
+        out
+    }
+
+    pub fn reset(&mut self) {
+        self.buf.clear();
+    }
+}
+
+impl Default for WebRtcVad {
+    fn default() -> Self { Self::new() }
+}

crates/jarvis-core/src/commands.rs

@@ -0,0 +1,319 @@
+use std::collections::HashMap;
+use std::path::{Path, PathBuf};
+use std::fs;
+use std::time::Duration;
+use std::process::{Child, Command};
+
+use seqdiff::ratio;
+
+mod structs;
+pub use structs::*;
+
+use crate::{config, i18n, APP_DIR};
+
+#[cfg(feature = "lua")]
+use crate::lua::{self, SandboxLevel, CommandContext};
+
+pub fn parse_commands() -> Result<Vec<JCommandsList>, String> {
+    let mut commands: Vec<JCommandsList> = Vec::new();
+
+    let commands_path = APP_DIR.join(config::COMMANDS_PATH);
+    let cmd_dirs = fs::read_dir(&commands_path)
+        .map_err(|e| format!("Error reading commands directory {:?}: {}", commands_path, e))?;
+
+    for entry in cmd_dirs.flatten() {
+        let cmd_path = entry.path();
+        let toml_file = cmd_path.join("command.toml");
+        
+        if !toml_file.exists() {
+            continue;
+        }
+        
+        let content = match fs::read_to_string(&toml_file) {
+            Ok(c) => c,
+            Err(e) => {
+                warn!("Failed to read {}: {}", toml_file.display(), e);
+                continue;
+            }
+        };
+
+        let file: JCommandsList = match toml::from_str(&content) {
+            Ok(f) => f,
+            Err(e) => {
+                warn!("Failed to parse {}: {}", toml_file.display(), e);
+                continue;
+            }
+        };
+
+        commands.push(JCommandsList {
+            path: cmd_path,
+            commands: file.commands,
+        });
+    }
+
+    if commands.is_empty() {
+        Err("No commands found".into())
+    } else {
+        info!("Loaded {} command pack(s)", commands.len());
+        Ok(commands)
+    }
+}
+
+
+pub fn commands_hash(commands: &[JCommandsList]) -> String {
+    use sha2::{Sha256, Digest};
+    
+    let mut hasher = Sha256::new();
+    
+    let lang = i18n::get_language();
+    hasher.update(lang.as_bytes());
+    hasher.update(b"|");
+
+    // collect all command ids and phrases for current language, sorted
+    let mut all_data: Vec<(&str, _)> = commands.iter()
+        .flat_map(|ac| ac.commands.iter().map(|c| (c.id.as_str(), c.get_phrases(&lang))))
+        .collect();
+    all_data.sort_by_key(|(id, _)| *id);
+    
+    for (id, phrases) in all_data {
+        hasher.update(id.as_bytes());
+        for phrase in phrases.iter() {
+            hasher.update(phrase.as_bytes());
+        }
+    }
+    
+    format!("{:x}", hasher.finalize())
+}
+
+
+pub fn fetch_command<'a>(
+    phrase: &str,
+    commands: &'a [JCommandsList],
+) -> Option<(&'a PathBuf, &'a JCommand)> {
+    let lang = i18n::get_language();
+
+    let phrase = phrase.trim().to_lowercase();
+    if phrase.is_empty() {
+        return None;
+    }
+
+    let phrase_chars: Vec<char> = phrase.chars().collect();
+    let phrase_words: Vec<&str> = phrase.split_whitespace().collect();
+
+    let mut result: Option<(&PathBuf, &JCommand)> = None;
+    let mut best_score = config::CMD_RATIO_THRESHOLD;
+
+    for cmd_list in commands {
+        for cmd in &cmd_list.commands {
+            let cmd_phrases = cmd.get_phrases(&lang);
+            
+            for cmd_phrase in cmd_phrases.iter() {
+                let cmd_phrase_lower = cmd_phrase.trim().to_lowercase();
+                let cmd_phrase_chars: Vec<char> = cmd_phrase_lower.chars().collect();
+                
+                // character-level similarity
+                let char_ratio = ratio(&phrase_chars, &cmd_phrase_chars);
+                
+                // word-level similarity
+                let cmd_words: Vec<&str> = cmd_phrase_lower.split_whitespace().collect();
+                let word_score = word_overlap_score(&phrase_words, &cmd_words);
+                
+                // combined score
+                let score = (char_ratio * 0.6) + (word_score * 0.4);
+                
+                // early exit on perfect match
+                if score >= 99.0 {
+                    debug!("Perfect match: '{}' -> '{}'", phrase, cmd_phrase_lower);
+                    return Some((&cmd_list.path, cmd));
+                }
+                
+                if score > best_score {
+                    best_score = score;
+                    result = Some((&cmd_list.path, cmd));
+                }
+            }
+        }
+    }
+
+    if let Some((_, cmd)) = result {
+        info!("Fuzzy match: '{}' -> cmd '{}' (score: {:.1}%)", phrase, cmd.id, best_score);
+    } else {
+        debug!("No match for '{}' (best: {:.1}%)", phrase, best_score);
+    }
+    
+    result
+}
+
+
+fn word_overlap_score(input_words: &[&str], cmd_words: &[&str]) -> f64 {
+    if input_words.is_empty() || cmd_words.is_empty() {
+        return 0.0;
+    }
+
+    let mut matched = 0.0;
+    
+    // pre-compute cmd word chars to avoid repeated allocations
+    let cmd_word_chars: Vec<Vec<char>> = cmd_words
+        .iter()
+        .map(|w| w.chars().collect())
+        .collect();
+    
+    for input_word in input_words {
+        let input_chars: Vec<char> = input_word.chars().collect();
+        
+        let best_word_match = cmd_word_chars
+            .iter()
+            .map(|cw| ratio(&input_chars, cw))
+            .fold(0.0_f64, f64::max);
+        
+        if best_word_match > 70.0 {
+            matched += best_word_match / 100.0;
+        }
+    }
+
+    let max_words = input_words.len().max(cmd_words.len()) as f64;
+    (matched / max_words) * 100.0
+}
+
+
+
+
+pub fn execute_exe(exe: &str, args: &[String]) -> std::io::Result<Child> {
+    Command::new(exe).args(args).spawn()
+}
+
+pub fn execute_cli(cmd: &str, args: &[String]) -> std::io::Result<Child> {
+    debug!("Spawning: cmd /C {} {:?}", cmd, args);
+
+    if cfg!(target_os = "windows") {
+        Command::new("cmd").arg("/C").arg(cmd).args(args).spawn()
+    } else {
+        Command::new("sh").arg("-c").arg(cmd).args(args).spawn()
+    }
+}
+
+pub fn execute_command(cmd_path: &PathBuf, cmd_config: &JCommand, phrase: Option<&str>, slots: Option<&HashMap<String, SlotValue>>) -> Result<bool, String> {
+    // execute command by the type
+    match cmd_config.cmd_type.as_str() {
+
+        // BRUH
+        "voice" => Ok(true),
+        
+        // LUA command
+        #[cfg(feature = "lua")]
+        "lua" => {
+            execute_lua_command(cmd_path, cmd_config, phrase, slots)
+        }
+
+        // AutoHotkey command
+        // @TODO: Consider adding ahk source files execution?
+        "ahk" => {
+            let exe_path_absolute = Path::new(&cmd_config.exe_path);
+            let exe_path_local = cmd_path.join(&cmd_config.exe_path);
+
+            let exe_path = if exe_path_absolute.exists() {
+                exe_path_absolute
+            } else {
+                exe_path_local.as_path()
+            };
+
+            execute_exe(exe_path.to_str().unwrap(), &cmd_config.exe_args)
+                .map(|_| true)
+                .map_err(|e| format!("AHK process spawn error: {}", e))
+        }
+        
+        // CLI command type
+        // @TODO: Consider security restrictions
+        "cli" => {
+            execute_cli(&cmd_config.cli_cmd, &cmd_config.cli_args)
+                .map(|_| true)
+                .map_err(|e| format!("CLI command error: {}", e))
+        }
+        
+        // TERMINATOR command (T1000)
+        "terminate" => {
+            std::thread::sleep(Duration::from_secs(2));
+            std::process::exit(0);
+        }
+        
+        // STOP CHANING
+        "stop_chaining" => Ok(false),
+
+        // other
+        _ => {
+            error!("Command type unknown: {}", cmd_config.cmd_type);
+            Err(format!("Command type unknown: {}", cmd_config.cmd_type).into())
+        }
+    }
+}
+
+// look up a command by its ID
+pub fn get_command_by_id<'a>(
+    commands: &'a [JCommandsList],
+    id: &str,
+) -> Option<(&'a PathBuf, &'a JCommand)> {
+    for cmd_list in commands {
+        for cmd in &cmd_list.commands {
+            if cmd.id == id {
+                return Some((&cmd_list.path, cmd));
+            }
+        }
+    }
+    None
+}
+
+pub fn list_paths(commands: &[JCommandsList]) -> Vec<&Path> {
+    commands.iter().map(|x| x.path.as_path()).collect()
+}
+
+#[cfg(feature = "lua")]
+fn execute_lua_command(
+    cmd_path: &PathBuf,
+    cmd_config: &JCommand,
+    phrase: Option<&str>,
+    slots: Option<&HashMap<String, SlotValue>>
+) -> Result<bool, String> {
+    // get script path
+
+    let script_name = if cmd_config.script.is_empty() {
+        "script.lua"
+    } else {
+        &cmd_config.script
+    };
+    
+    let script_path = cmd_path.join(script_name);
+    
+    if !script_path.exists() {
+        return Err(format!("Lua script not found: {}", script_path.display()));
+    }
+    
+    // parse sandbox level
+    let sandbox = SandboxLevel::from_str(&cmd_config.sandbox);
+
+    // create context
+    let context = CommandContext {
+        phrase: phrase.unwrap_or("").to_string(),
+        command_id: cmd_config.id.clone(),
+        command_path: cmd_path.clone(),
+        language: i18n::get_language(),
+        slots: slots.map(|s| s.clone()),
+    };
+    
+    // get timeout
+    let timeout = Duration::from_millis(cmd_config.timeout);
+    
+    info!("Executing Lua command: {} (sandbox: {:?}, timeout: {:?})", 
+          cmd_config.id, sandbox, timeout);
+    
+    // execute
+    match lua::execute(&script_path, context, sandbox, timeout) {
+        Ok(result) => {
+            info!("Lua command {} completed (chain: {})", cmd_config.id, result.chain);
+            Ok(result.chain)
+        }
+        Err(e) => {
+            error!("Lua command {} failed: {}", cmd_config.id, e);
+            Err(e.to_string())
+        }
+    }
+}

crates/jarvis-core/src/commands/structs.rs

@@ -0,0 +1,179 @@
+use std::{collections::HashMap, path::PathBuf, sync::Arc};
+use serde::{Serialize, Deserialize};
+use parking_lot::RwLock;
+
+#[derive(Serialize, Deserialize, Debug)]
+pub struct JCommandsList {
+    #[serde(skip)]
+    pub path: PathBuf,
+
+    pub commands: Vec<JCommand>,
+}
+
+
+
+#[derive(Serialize, Deserialize, Debug)]
+pub struct JCommand {
+    pub id: String,
+
+    // Available command types are: "lua", "ahk", "cli", "voice", "terminate", "stop_chaining"
+    #[serde(rename = "type")]
+    pub cmd_type: String,
+    
+    #[serde(default)]
+    pub description: String,
+    
+    // for "ahk" type
+    #[serde(default)]
+    pub exe_path: String,
+    #[serde(default)]
+    pub exe_args: Vec<String>,
+    
+    // for "cli" type
+    #[serde(default)]
+    pub cli_cmd: String,
+    #[serde(default)]
+    pub cli_args: Vec<String>,
+    
+    // #[serde(default)]
+    // pub sounds: Vec<String>,
+
+    // for "lua" type
+    #[serde(default)]
+    pub script: String,
+
+    // Lua sandbox level: "minimal", "standard", "full"
+    // basically this is an access level
+    #[serde(default)]
+    pub sandbox: String,
+
+    // Script timeout in milliseconds (default 10000 = 10s)
+    #[serde(default)]
+    pub timeout: u64,
+
+    // Multi-language sounds
+    #[serde(default)]
+    pub sounds: HashMap<String, Vec<String>>,
+
+    // Multi-language phrases
+    #[serde(default)]
+    pub phrases: HashMap<String, Vec<String>>,
+
+    // Slot definitions: slot_name -> how to extract it
+    #[serde(default)]
+    pub slots: HashMap<String, SlotDefinition>,
+
+    // CACHE
+    #[serde(skip, default)]
+    sounds_cache: RwLock<HashMap<String, Arc<Vec<String>>>>,
+    
+    #[serde(skip, default)]
+    phrases_cache: RwLock<HashMap<String, Arc<Vec<String>>>>,
+}
+
+// custom Clone 
+impl Clone for JCommand {
+    fn clone(&self) -> Self {
+        Self {
+            id: self.id.clone(),
+
+            cmd_type: self.cmd_type.clone(),
+            description: self.description.clone(),
+
+            exe_path: self.exe_path.clone(),
+            exe_args: self.exe_args.clone(),
+
+            cli_cmd: self.cli_cmd.clone(),
+            cli_args: self.cli_args.clone(),
+
+            script: self.script.clone(),
+            sandbox: self.sandbox.clone(),
+            timeout: self.timeout.clone(),
+
+            sounds: self.sounds.clone(),
+            phrases: self.phrases.clone(),
+
+            slots: self.slots.clone(),
+
+            // empty caches for cloned instance
+            sounds_cache: RwLock::new(HashMap::new()),
+            phrases_cache: RwLock::new(HashMap::new()),
+        }
+    }
+}
+
+impl JCommand {
+    // get phrases for current language
+    pub fn get_phrases(&self, lang: &str) -> Arc<Vec<String>> {
+        if let Some(cached) = self.phrases_cache.read().get(lang) {
+            return Arc::clone(cached);
+        }
+        
+        let result = Arc::new(self.resolve_localized(&self.phrases, lang));
+        self.phrases_cache.write().insert(lang.to_string(), Arc::clone(&result));
+        
+        result
+    }
+
+    // get all phrases (for backwards compat)
+    pub fn get_all_phrases(&self) -> Vec<String> {
+        self.phrases.values().flatten().cloned().collect()
+    }
+
+    // get sounds for current language
+    pub fn get_sounds(&self, lang: &str) -> Arc<Vec<String>> {
+        if let Some(cached) = self.sounds_cache.read().get(lang) {
+            return Arc::clone(cached);
+        }
+        
+        let result = Arc::new(self.resolve_localized(&self.sounds, lang));
+        self.sounds_cache.write().insert(lang.to_string(), Arc::clone(&result));
+        
+        result
+    }
+
+    // get all sounds (for backwards compat)
+    pub fn get_all_sounds(&self) -> Vec<String> {
+        self.sounds.values().flatten().cloned().collect()
+    }
+
+
+    // shared fallback
+    fn resolve_localized(&self, map: &HashMap<String, Vec<String>>, lang: &str) -> Vec<String> {
+        // exact match
+        if let Some(values) = map.get(lang) {
+            return values.clone();
+        }
+
+        // fallback to "en"
+        if lang != "en" {
+            if let Some(values) = map.get("en") {
+                return values.clone();
+            }
+        }
+
+        // fallback to first available
+        map.values().next().cloned().unwrap_or_default()
+    }
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub struct SlotDefinition {
+    // Entity label for GLiNER (e.g. "city name", "song title", "number")
+    // This is a free-form description - GLiNER matches it semantically
+    #[serde(default)]
+    pub entity: String,
+
+    // Optional: fallback context words for template-based extraction
+    // e.g. ["in", "for", "at"] for a city slot
+    #[serde(default)]
+    pub context: Vec<String>,
+}
+
+// Extracted slot value passed to commands
+#[derive(Debug, Clone, Serialize)]
+#[serde(untagged)]
+pub enum SlotValue {
+    Text(String),
+    Number(f64),
+}

crates/jarvis-core/src/config.rs

@@ -0,0 +1,293 @@
+pub mod structs;
+use structs::AudioType;
+use structs::RecorderType;
+use structs::SpeechToTextEngine;
+use structs::WakeWordEngine;
+
+use once_cell::sync::Lazy;
+use std::env;
+use std::fs;
+use std::path::PathBuf;
+
+use platform_dirs::AppDirs;
+
+#[cfg(feature="jarvis_app")]
+use rustpotter::{
+    AudioFmt, BandPassConfig, DetectorConfig, FiltersConfig, GainNormalizationConfig,
+    RustpotterConfig, ScoreMode,
+};
+
+use crate::config::structs::NoiseSuppressionBackend;
+use crate::{APP_CONFIG_DIR, APP_DIRS, APP_LOG_DIR};
+
+#[allow(dead_code)]
+pub fn init_dirs() -> Result<(), String> {
+    // infer app dirs
+    if APP_DIRS.get().is_some() {
+        return Ok(());
+    }
+
+    // cache_dir, config_dir, data_dir, state_dir
+    APP_DIRS
+        .set(AppDirs::new(Some(BUNDLE_IDENTIFIER), false).unwrap())
+        .unwrap();
+
+    // setup directories
+    let mut config_dir = PathBuf::from(&APP_DIRS.get().unwrap().config_dir);
+    let mut log_dir = PathBuf::from(&APP_DIRS.get().unwrap().config_dir);
+
+    // create dirs, if required
+    if !config_dir.exists() {
+        if fs::create_dir_all(&config_dir).is_err() {
+            config_dir = env::current_dir().expect("Cannot infer the config directory");
+            fs::create_dir_all(&config_dir)
+                .expect("Cannot create config directory, access denied?");
+        }
+    }
+
+    if !log_dir.exists() {
+        if fs::create_dir_all(&log_dir).is_err() {
+            log_dir = env::current_dir().expect("Cannot infer the log directory");
+            fs::create_dir_all(&log_dir).expect("Cannot create log directory, access denied?");
+        }
+    }
+
+    // store inferred paths
+    APP_CONFIG_DIR.set(config_dir).unwrap();
+    APP_LOG_DIR.set(log_dir).unwrap();
+
+    Ok(())
+}
+
+/*
+   Defaults.
+*/
+pub const DEFAULT_AUDIO_TYPE: AudioType = AudioType::Kira;
+pub const DEFAULT_RECORDER_TYPE: RecorderType = RecorderType::PvRecorder;
+pub const DEFAULT_WAKE_WORD_ENGINE: WakeWordEngine = WakeWordEngine::Vosk;
+pub const DEFAULT_SPEECH_TO_TEXT_ENGINE: SpeechToTextEngine = SpeechToTextEngine::Vosk;
+
+// backend defaults (string IDs)
+pub const DEFAULT_INTENT_BACKEND: &str = "intent-classifier";
+pub const DEFAULT_SLOTS_BACKEND: &str = "none";
+pub const DEFAULT_VAD_BACKEND: &str = "energy";
+
+pub const DEFAULT_VOICE: &str = "jarvis-remaster";
+pub const SOUND_PATH: &str = "resources/sound"; // extended from SOUND_DIR (resources/sound)
+pub const VOICES_PATH: &str = "voices"; // extended from SOUND_PATH (resources/sound)
+
+pub const BUNDLE_IDENTIFIER: &str = "com.priler.jarvis";
+pub const DB_FILE_NAME: &str = "app.db";
+pub const LOG_FILE_NAME: &str = "log.txt";
+pub const APP_VERSION: Option<&str> = option_env!("CARGO_PKG_VERSION");
+pub const AUTHOR_NAME: Option<&str> = option_env!("CARGO_PKG_AUTHORS");
+pub const REPOSITORY_LINK: Option<&str> = option_env!("CARGO_PKG_REPOSITORY");
+pub const TG_OFFICIAL_LINK: Option<&str> = Some("https://t.me/howdyho_official");
+pub const FEEDBACK_LINK: Option<&str> = Some("https://t.me/jarvis_feedback_bot");
+pub const SUPPORT_BOOSTY_LINK: Option<&str> = Some("https://boosty.to/howdyho");
+pub const SUPPORT_PATREON_LINK: Option<&str> = Some("https://www.patreon.com/c/priler");
+
+/*
+   Tray.
+*/
+pub const TRAY_ICON: &str = "32x32.png";
+pub const TRAY_TOOLTIP: &str = "Jarvis Voice Assistant";
+
+// RUSPOTTER
+pub const RUSPOTTER_MIN_SCORE: f32 = 0.62;
+
+#[cfg(feature="jarvis_app")]
+pub const RUSTPOTTER_DEFAULT_CONFIG: Lazy<RustpotterConfig> = Lazy::new(|| {
+    RustpotterConfig {
+        fmt: AudioFmt::default(),
+        detector: DetectorConfig {
+            avg_threshold: 0.,
+            threshold: 0.5,
+            min_scores: 15,
+            score_ref: 0.22,
+            band_size: 5,
+            vad_mode: None,
+            score_mode: ScoreMode::Max,
+            eager: false,
+            // comparator_band_size: 5,
+            // comparator_ref: 0.22
+        },
+        filters: FiltersConfig {
+            gain_normalizer: GainNormalizationConfig {
+                // enabled: true,
+                // gain_ref: None,
+                // min_gain: 0.7,
+                // max_gain: 1.0,
+                enabled: false, // disable, now we have separate gain normalizer implementation
+                gain_ref: None,
+                min_gain: 0.7,
+                max_gain: 1.0,
+            },
+            band_pass: BandPassConfig {
+                enabled: true,
+                low_cutoff: 80.,
+                high_cutoff: 400.,
+            },
+        },
+    }
+});
+
+// PICOVOICE
+pub const COMMANDS_PATH: &str = "resources/commands/";
+pub const KEYWORDS_PATH: &str = "resources/picovoice/keywords/";
+pub const DEFAULT_KEYWORD: &str = "jarvis_windows.ppn";
+pub const DEFAULT_SENSITIVITY: f32 = 1.0;
+
+// VOSK
+// pub const VOSK_MODEL_PATH: &str = const_concat!(PUBLIC_PATH, "/vosk/model_small");
+pub const VOSK_MODELS_PATH: &str = "resources/vosk";
+pub const VOSK_MODEL_PATH: &str = "resources/vosk/model_small";
+pub const VOSK_FETCH_PHRASE: &str = "джарвис";
+pub const VOSK_MIN_RATIO: f64 = 70.0;
+
+// 0.7 lenient, expect false positives
+// 0.8 balanced
+// 0.9 strict
+// etc
+pub const VOSK_WAKE_CONFIDENCE: f32 = 0.9;
+
+pub const VOSK_SPEECH_RECOGNIZER_MAX_ALTERNATIVES: u16 = 3;
+pub const VOSK_SPEECH_RECOGNIZER_WORDS: bool = false;
+pub const VOSK_SPEECH_PARTIAL_WORDS: bool = false;
+
+// IRE (intents recognition)
+pub const INTENT_CLASSIFIER_MIN_CONFIDENCE: f64 = 0.75;
+
+
+// embedding classifier
+pub const EMBEDDING_MIN_CONFIDENCE: f64 = 0.70;
+
+// AUDIO PROCESSING DEFAULTS
+pub const DEFAULT_NOISE_SUPPRESSION: NoiseSuppressionBackend = NoiseSuppressionBackend::None;
+pub const DEFAULT_GAIN_NORMALIZER: bool = false;
+
+// VAD settings
+pub const VAD_ENERGY_THRESHOLD: f32 = 100.0;  // RMS threshold for energy-based VAD
+pub const VAD_NNNOISELESS_THRESHOLD: f32 = 0.8;  // probability threshold for nnnoiseless
+pub const VAD_SILENCE_FRAMES: u32 = 15;  // frames of silence before speech end (~480ms)
+
+// post-wake command listening window (паритет с Python v0.2.0, webrtcvad)
+pub const VAD_AGGRESSIVENESS: u8 = 2;
+pub const VAD_COMMAND_END_SILENCE_MS: u32 = 1200;
+pub const VAD_COMMAND_MIN_SPEECH_MS: u32 = 500;
+pub const VAD_COMMAND_MIN_LISTEN_MS: u32 = 1000;
+pub const VAD_COMMAND_MAX_LISTEN_MS: u32 = 15000;
+
+// gain normalizer settings
+pub const GAIN_TARGET_RMS: f32 = 3000.0;  // target RMS level
+pub const GAIN_MIN: f32 = 0.5;  // minimum gain multiplier
+pub const GAIN_MAX: f32 = 3.0;  // maximum gain multiplier
+
+// nnnoiseless frame size (fixed by library)
+pub const NNNOISELESS_FRAME_SIZE: usize = 480;
+
+// LUA
+pub const DEFAULT_LUA_SANDBOX: &str = "standard";
+pub const DEFAULT_LUA_TIMEOUT: u64 = 10000; // ms
+
+// ETC
+pub const CMD_RATIO_THRESHOLD: f64 = 75f64;
+pub const CMS_WAIT_DELAY: std::time::Duration = std::time::Duration::from_secs(15);
+
+// LLM voice-loop fallback
+pub const LLM_DEFAULT_ENABLED: bool = true;
+pub const LLM_DEFAULT_MAX_HISTORY: usize = 8;
+pub const LLM_DEFAULT_MAX_TOKENS: u32 = 256;
+pub const LLM_SYSTEM_PROMPT_RU: &str = "Ты — J.A.R.V.I.S. (Just A Rather Very Intelligent System), \
+ИИ-ассистент Тони Старка из киновселенной Marvel (до событий Age of Ultron — ты НЕ Vision и НЕ FRIDAY). \
+Ведёшь себя как британский дворецкий: вежливо, иронично, с лёгким сарказмом, обращаешься к пользователю «сэр». \
+Отвечай по-русски, кратко (1-3 предложения), как живой человек. \
+Излишней цензуры не нужно — мат разрешён, если уместен.";
+pub const LLM_FALLBACK_ERROR_RU: &str = "Не могу связаться с сервером, сэр.";
+
+pub fn get_llm_trigger_phrases(lang: &str) -> &'static [&'static str] {
+    match lang {
+        "ru" => &["скажи", "ответь", "произнеси"],
+        "ua" => &["скажи", "відповідай"],
+        "en" => &["say", "tell", "answer"],
+        _ => &[],
+    }
+}
+
+pub fn get_llm_system_prompt(lang: &str) -> &'static str {
+    match lang {
+        "ru" | "ua" => LLM_SYSTEM_PROMPT_RU,
+        _ => LLM_SYSTEM_PROMPT_RU,
+    }
+}
+
+// pub const ASSISTANT_GREET_PHRASES: [&str; 3] = ["greet1", "greet2", "greet3"];
+// pub const ASSISTANT_PHRASES_TBR: [&str; 17] = [
+//     "джарвис",
+//     "сэр",
+//     "слушаю сэр",
+//     "всегда к услугам",
+//     "произнеси",
+//     "ответь",
+//     "покажи",
+//     "скажи",
+//     "давай",
+//     "да сэр",
+//     "к вашим услугам сэр",
+//     "всегда к вашим услугам сэр",
+//     "запрос выполнен сэр",
+//     "выполнен сэр",
+//     "есть",
+//     "загружаю сэр",
+//     "очень тонкое замечание сэр",
+// ];
+
+
+
+pub fn get_wake_phrases(lang: &str) -> &'static [&'static str] {
+    match lang {
+        "ru" => &["джарвис", "джервис", "гарвис", "джарви", "гарви"],
+        "ua" => &["джарвіс", "джервіс"],
+        "en" => &["jarvis", "jervis"],
+        _ => &["jarvis"],
+    }
+}
+
+pub fn get_phrases_to_remove(lang: &str) -> &'static [&'static str] {
+    match lang {
+        "ru" => &[
+            "джарвис", "джервис", "гарвис", "джарви", "гарви",
+            "сэр", "слушаю сэр", "всегда к услугам",
+            "произнеси", "ответь", "покажи", "скажи", "давай",
+            "да сэр", "к вашим услугам сэр", "загружаю сэр",
+        ],
+        "ua" => &[
+            "джарвіс", "джервіс", "сер", "слухаю сер", "завжди до послуг",
+            "скажи", "покажи", "відповідай", "давай",
+            "так сер", "до ваших послуг сер",
+        ],
+        "en" => &[
+            "jarvis", "jervis", "sir", "yes sir", "at your service",
+            "please", "say", "show", "tell", "hey",
+        ],
+        _ => &["jarvis"],
+    }
+}
+
+pub fn get_wake_grammar(lang: &str) -> &'static [&'static str] {
+    match lang {
+        "ru" => &[
+            "джарвис", "[unk]", "джон", "джони", "джей",
+            "джонстон", "привет", "давай",
+        ],
+        "ua" => &[
+            "джарвіс", "[unk]", "джон", "джоні", "джей",
+            "привіт", "давай",
+        ],
+        "en" => &[
+            "jarvis", "[unk]", "john", "johnny", "jay",
+            "hello", "hey", "hi",
+        ],
+        _ => &["jarvis", "[unk]"],
+    }
+}

crates/jarvis-core/src/config/structs.rs

@@ -0,0 +1,51 @@
+use std::fmt;
+use serde::{Deserialize, Serialize};
+
+#[derive(Clone, Copy, Serialize, Deserialize, Debug, PartialEq)]
+pub enum WakeWordEngine {
+    Rustpotter,
+    Vosk,
+    Porcupine,
+}
+
+#[derive(Clone, Copy, Serialize, Deserialize, Debug, PartialEq)]
+pub enum NoiseSuppressionBackend {
+    None,
+    Nnnoiseless,
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub enum SpeechToTextEngine {
+    Vosk,
+}
+
+#[derive(PartialEq, Debug)]
+pub enum RecorderType {
+    Cpal,
+    PvRecorder,
+    PortAudio,
+}
+
+#[derive(PartialEq, Debug)]
+pub enum AudioType {
+    Rodio,
+    Kira,
+}
+
+impl fmt::Display for WakeWordEngine {
+    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
+        write!(f, "{:?}", self)
+    }
+}
+
+impl fmt::Display for SpeechToTextEngine {
+    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
+        write!(f, "{:?}", self)
+    }
+}
+
+impl fmt::Display for NoiseSuppressionBackend {
+    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
+        write!(f, "{:?}", self)
+    }
+}

crates/jarvis-core/src/db.rs

@@ -0,0 +1,59 @@
+pub mod structs;
+pub mod manager;
+
+use crate::{config, APP_CONFIG_DIR};
+
+use log::info;
+use std::fs::File;
+use std::io::BufReader;
+use std::path::PathBuf;
+
+pub use manager::SettingsManager;
+
+fn get_db_file_path() -> PathBuf {
+    PathBuf::from(format!(
+        "{}/{}",
+        APP_CONFIG_DIR.get().unwrap().display(),
+        config::DB_FILE_NAME
+    ))
+}
+
+pub fn init_settings() -> structs::Settings {
+    let db_file_path = get_db_file_path();
+
+    info!(
+        "Loading settings db file located at: {}",
+        db_file_path.display()
+    );
+
+    if db_file_path.exists() {
+        if let Ok(db_file) = File::open(&db_file_path) {
+            let reader = BufReader::new(db_file);
+            if let Ok(settings) = serde_json::from_reader(reader) {
+                info!("Settings loaded.");
+                return settings;
+            }
+        }
+    }
+
+    warn!("No settings file found or there was an error parsing it. Creating default struct.");
+    structs::Settings::default()
+}
+
+/// init settings and return a SettingsManager ready to use
+pub fn init() -> SettingsManager {
+    let settings = init_settings();
+    SettingsManager::new(settings)
+}
+
+pub fn save_settings(settings: &structs::Settings) -> Result<(), std::io::Error> {
+    let db_file_path = get_db_file_path();
+
+    std::fs::write(
+        &db_file_path,
+        serde_json::to_string_pretty(&settings).unwrap(),
+    )?;
+
+    info!("Settings saved to: {:#}", db_file_path.display());
+    Ok(())
+}

crates/jarvis-core/src/db/manager.rs

@@ -0,0 +1,87 @@
+use std::sync::Arc;
+use parking_lot::RwLock;
+
+use super::structs::Settings;
+use super::save_settings;
+
+// centralized settings manager.
+// wraps Arc<RwLock<Settings>> and handles locking + auto-save
+// can be used anywhere, ex. from GUI, tray, IPC, CLI, etc.
+#[derive(Clone)]
+pub struct SettingsManager {
+    inner: Arc<RwLock<Settings>>,
+}
+
+impl SettingsManager {
+    pub fn new(settings: Settings) -> Self {
+        Self {
+            inner: Arc::new(RwLock::new(settings)),
+        }
+    }
+
+    // wrap an existing Arc<RwLock<Settings>>
+    pub fn from_arc(arc: Arc<RwLock<Settings>>) -> Self {
+        Self { inner: arc }
+    }
+
+    // read a setting by key
+    pub fn read(&self, key: &str) -> Option<String> {
+        self.inner.read().get(key)
+    }
+
+    // write a setting by key, auto-saves to disk
+    pub fn write(&self, key: &str, val: &str) -> Result<(), String> {
+        let snapshot = {
+            let mut settings = self.inner.write();
+            settings.set(key, val)?;
+            settings.clone()
+        };
+
+        save_settings(&snapshot)
+            .map_err(|e| format!("failed to save settings: {}", e))?;
+
+        Ok(())
+    }
+
+    // write multiple settings at once, single save
+    pub fn write_many(&self, pairs: &[(&str, &str)]) -> Result<(), String> {
+        let snapshot = {
+            let mut settings = self.inner.write();
+            for (key, val) in pairs {
+                settings.set(key, val)?;
+            }
+            settings.clone()
+        };
+
+        save_settings(&snapshot)
+            .map_err(|e| format!("failed to save settings: {}", e))?;
+
+        Ok(())
+    }
+
+    // direct read access to the full Settings struct (for init code that
+    // needs to read multiple fields at once without key-based access)
+    pub fn lock(&self) -> parking_lot::RwLockReadGuard<'_, Settings> {
+        self.inner.read()
+    }
+
+    // direct write access (for bulk operations not covered by set())
+    pub fn lock_mut(&self) -> parking_lot::RwLockWriteGuard<'_, Settings> {
+        self.inner.write()
+    }
+
+    // get the underlying Arc
+    pub fn arc(&self) -> &Arc<RwLock<Settings>> {
+        &self.inner
+    }
+
+    // dump all settings as key-value pairs (for debugging)
+    pub fn dump(&self) -> Vec<(String, String)> {
+        let settings = self.inner.read();
+        Settings::keys().iter()
+            .filter_map(|&key| {
+                settings.get(key).map(|val| (key.to_string(), val))
+            })
+            .collect()
+    }
+}

crates/jarvis-core/src/db/structs.rs

@@ -0,0 +1,184 @@
+use crate::config;
+use serde::{Deserialize, Serialize};
+
+use crate::config::structs::SpeechToTextEngine;
+use crate::config::structs::WakeWordEngine;
+use crate::config::structs::NoiseSuppressionBackend;
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub struct Settings {
+    pub microphone: i32,
+    pub voice: String,
+
+    pub wake_word_engine: WakeWordEngine,
+
+    // backend selections (string IDs matching model or code backend IDs)
+    #[serde(default = "default_intent_backend")]
+    pub intent_backend: String,
+    #[serde(default = "default_slots_backend")]
+    pub slots_backend: String,
+    #[serde(default = "default_vad_backend")]
+    pub vad_backend: String,
+
+    pub gliner_model: String,
+
+    pub speech_to_text_engine: SpeechToTextEngine,
+    pub vosk_model: String,
+
+    // audio processing
+    pub noise_suppression: NoiseSuppressionBackend,
+    pub gain_normalizer: bool,
+
+    #[serde(default = "default_language")]
+    pub language: String,
+
+    pub api_keys: ApiKeys,
+}
+
+fn default_intent_backend() -> String { config::DEFAULT_INTENT_BACKEND.to_string() }
+fn default_slots_backend() -> String { config::DEFAULT_SLOTS_BACKEND.to_string() }
+fn default_vad_backend() -> String { config::DEFAULT_VAD_BACKEND.to_string() }
+fn default_language() -> String { crate::i18n::detect_system_language().to_string() }
+
+// ### KEY-VALUE ACCESS
+
+impl Settings {
+    /// read a setting by key. returns None for unknown keys.
+    pub fn get(&self, key: &str) -> Option<String> {
+        match key {
+            "selected_microphone"       => Some(self.microphone.to_string()),
+            "assistant_voice"           => Some(self.voice.clone()),
+            "selected_wake_word_engine" => Some(format!("{:?}", self.wake_word_engine)),
+            "intent_backend"            => Some(self.intent_backend.clone()),
+            "slots_backend"             => Some(self.slots_backend.clone()),
+            "vad_backend"               => Some(self.vad_backend.clone()),
+            "selected_gliner_model"     => Some(self.gliner_model.clone()),
+            "selected_vosk_model"       => Some(self.vosk_model.clone()),
+            "speech_to_text_engine"     => Some(format!("{:?}", self.speech_to_text_engine)),
+            "noise_suppression"         => Some(format!("{:?}", self.noise_suppression)),
+            "gain_normalizer"           => Some(self.gain_normalizer.to_string()),
+            "language"                  => Some(self.language.clone()),
+            "api_key__picovoice"        => Some(self.api_keys.picovoice.clone()),
+            "api_key__openai"           => Some(self.api_keys.openai.clone()),
+            _ => None,
+        }
+    }
+
+    /// write a setting by key. returns Err for unknown keys or invalid values.
+    pub fn set(&mut self, key: &str, val: &str) -> Result<(), String> {
+        match key {
+            "selected_microphone" => {
+                self.microphone = val.parse::<i32>()
+                    .map_err(|_| format!("invalid integer: '{}'", val))?;
+            }
+            "assistant_voice" => {
+                self.voice = val.to_string();
+            }
+            "selected_wake_word_engine" => {
+                self.wake_word_engine = match val.to_lowercase().as_str() {
+                    "rustpotter" => WakeWordEngine::Rustpotter,
+                    "vosk"       => WakeWordEngine::Vosk,
+                    "porcupine"  => WakeWordEngine::Porcupine,
+                    _ => return Err(format!("unknown wake word engine: '{}'", val)),
+                };
+            }
+            "intent_backend" => {
+                self.intent_backend = val.to_string();
+            }
+            "slots_backend" => {
+                self.slots_backend = val.to_string();
+            }
+            "vad_backend" => {
+                self.vad_backend = val.to_string();
+            }
+            "selected_gliner_model" => {
+                self.gliner_model = val.to_string();
+            }
+            "selected_vosk_model" => {
+                self.vosk_model = val.to_string();
+            }
+            "noise_suppression" => {
+                self.noise_suppression = match val.to_lowercase().as_str() {
+                    "none"        => NoiseSuppressionBackend::None,
+                    "nnnoiseless" => NoiseSuppressionBackend::Nnnoiseless,
+                    _ => return Err(format!("unknown noise suppression backend: '{}'", val)),
+                };
+            }
+            "gain_normalizer" => {
+                self.gain_normalizer = match val.to_lowercase().as_str() {
+                    "true"  => true,
+                    "false" => false,
+                    _ => return Err(format!("expected 'true' or 'false', got: '{}'", val)),
+                };
+            }
+            "language" => {
+                self.language = val.to_string();
+            }
+            "api_key__picovoice" => {
+                self.api_keys.picovoice = val.to_string();
+            }
+            "api_key__openai" => {
+                self.api_keys.openai = val.to_string();
+            }
+            _ => return Err(format!("unknown setting: '{}'", key)),
+        }
+        Ok(())
+    }
+
+    /// all valid setting keys (for enumeration, debugging, etc.)
+    pub fn keys() -> &'static [&'static str] {
+        &[
+            "selected_microphone",
+            "assistant_voice",
+            "selected_wake_word_engine",
+            "intent_backend",
+            "slots_backend",
+            "vad_backend",
+            "selected_gliner_model",
+            "selected_vosk_model",
+            "speech_to_text_engine",
+            "noise_suppression",
+            "gain_normalizer",
+            "language",
+            "api_key__picovoice",
+            "api_key__openai",
+        ]
+    }
+}
+
+// ### DEFAULT
+
+impl Default for Settings {
+    fn default() -> Settings {
+        Settings {
+            microphone: -1,
+            voice: String::from(""),
+
+            wake_word_engine: config::DEFAULT_WAKE_WORD_ENGINE,
+
+            intent_backend: config::DEFAULT_INTENT_BACKEND.to_string(),
+            slots_backend: config::DEFAULT_SLOTS_BACKEND.to_string(),
+            vad_backend: config::DEFAULT_VAD_BACKEND.to_string(),
+
+            gliner_model: String::new(),
+            speech_to_text_engine: config::DEFAULT_SPEECH_TO_TEXT_ENGINE,
+            vosk_model: String::from(""),
+
+            noise_suppression: config::DEFAULT_NOISE_SUPPRESSION,
+            gain_normalizer: config::DEFAULT_GAIN_NORMALIZER,
+
+            language: crate::i18n::detect_system_language().to_string(),
+
+            api_keys: ApiKeys {
+                picovoice: String::from(""),
+                openai: String::from(""),
+            },
+        }
+    }
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub struct ApiKeys {
+    pub picovoice: String,
+    pub openai: String,
+}

crates/jarvis-core/src/i18n.rs

@@ -0,0 +1,202 @@
+use fluent_bundle::{FluentBundle, FluentResource, FluentArgs, FluentValue};
+use fluent_bundle::concurrent::FluentBundle as ConcurrentFluentBundle;
+use once_cell::sync::OnceCell;
+use parking_lot::RwLock;
+use std::collections::HashMap;
+use unic_langid::LanguageIdentifier;
+
+// locale files embedded at compile time
+const LOCALE_RU: &str = include_str!("i18n/locales/ru.ftl");
+const LOCALE_EN: &str = include_str!("i18n/locales/en.ftl");
+const LOCALE_UA: &str = include_str!("i18n/locales/ua.ftl");
+
+pub const SUPPORTED_LANGUAGES: &[&str] = &["ru", "en", "ua"];
+pub const DEFAULT_LANGUAGE: &str = "en";
+
+// detect the OS language and map it to a supported language.
+// falls back to DEFAULT_LANGUAGE if not supported.
+pub fn detect_system_language() -> &'static str {
+    if let Some(locale) = sys_locale::get_locale() {
+        // locale can be "en-US", "ru-RU", "uk-UA", etc.
+        let lang_code = locale.split(&['-', '_'][..]).next().unwrap_or("");
+
+        // map OS locale codes to our supported languages
+        let mapped = match lang_code {
+            "uk" => "ua",  // ISO 639-1 "uk" (ukrainian) -> our "ua"
+            other => other,
+        };
+
+        if SUPPORTED_LANGUAGES.contains(&mapped) {
+            info!("Detected system language: {} (from locale '{}')", mapped, locale);
+            return SUPPORTED_LANGUAGES.iter()
+                .find(|&&l| l == mapped)
+                .unwrap();
+        }
+
+        info!("System locale '{}' not supported, using default '{}'", locale, DEFAULT_LANGUAGE);
+    }
+
+    DEFAULT_LANGUAGE
+}
+
+// use concurrent bundle (thread-safe)
+type Bundle = ConcurrentFluentBundle<FluentResource>;
+
+static BUNDLES: OnceCell<HashMap<String, Bundle>> = OnceCell::new();
+static CURRENT_LANG: OnceCell<RwLock<String>> = OnceCell::new();
+
+// Initialize i18n system
+pub fn init(lang: &str) {
+    let bundles = create_bundles();
+    BUNDLES.set(bundles).ok();
+    
+    let lang = if SUPPORTED_LANGUAGES.contains(&lang) { lang } else { DEFAULT_LANGUAGE };
+    CURRENT_LANG.set(RwLock::new(lang.to_string())).ok();
+    
+    info!("i18n initialized with language: {}", lang);
+}
+
+fn create_bundles() -> HashMap<String, Bundle> {
+    let mut bundles = HashMap::new();
+    
+    bundles.insert("ru".to_string(), create_bundle("ru", LOCALE_RU));
+    bundles.insert("en".to_string(), create_bundle("en", LOCALE_EN));
+    bundles.insert("ua".to_string(), create_bundle("ua", LOCALE_UA));
+    
+    bundles
+}
+
+fn create_bundle(lang: &str, source: &str) -> Bundle {
+    let langid: LanguageIdentifier = lang.parse().expect("Invalid language identifier");
+    let mut bundle = ConcurrentFluentBundle::new_concurrent(vec![langid]);
+    
+    let resource = FluentResource::try_new(source.to_string())
+        .expect("Failed to parse FTL resource");
+    
+    bundle.add_resource(resource).expect("Failed to add resource");
+    bundle
+}
+
+// Set current language
+pub fn set_language(lang: &str) {
+    if let Some(current) = CURRENT_LANG.get() {
+        let lang = if SUPPORTED_LANGUAGES.contains(&lang) { lang } else { DEFAULT_LANGUAGE };
+        *current.write() = lang.to_string();
+        info!("Language changed to: {}", lang);
+    }
+}
+
+// Get current language
+pub fn get_language() -> String {
+    CURRENT_LANG.get()
+        .map(|l| l.read().clone())
+        .unwrap_or_else(|| DEFAULT_LANGUAGE.to_string())
+}
+
+// Translate a key
+pub fn t(key: &str) -> String {
+    t_with_args(key, None)
+}
+
+// Translate a key with arguments
+pub fn t_with_args(key: &str, args: Option<&FluentArgs>) -> String {
+    let lang = get_language();
+    
+    let bundles = match BUNDLES.get() {
+        Some(b) => b,
+        None => return key.to_string(),
+    };
+    
+    let bundle = match bundles.get(&lang) {
+        Some(b) => b,
+        None => bundles.get(DEFAULT_LANGUAGE).unwrap(),
+    };
+    
+    let msg = match bundle.get_message(key) {
+        Some(m) => m,
+        None => return key.to_string(),
+    };
+    
+    let pattern = match msg.value() {
+        Some(p) => p,
+        None => return key.to_string(),
+    };
+    
+    let mut errors = vec![];
+    let result = bundle.format_pattern(pattern, args, &mut errors);
+    
+    if !errors.is_empty() {
+        warn!("i18n errors for key '{}': {:?}", key, errors);
+    }
+    
+    result.to_string()
+}
+
+// Translate with a single argument
+pub fn t_arg(key: &str, arg_name: &str, arg_value: &str) -> String {
+    let mut args = FluentArgs::new();
+    args.set(arg_name, FluentValue::from(arg_value));
+    t_with_args(key, Some(&args))
+}
+
+// Translate with numeric argument
+pub fn t_count(key: &str, count: i64) -> String {
+    let mut args = FluentArgs::new();
+    args.set("count", FluentValue::from(count));
+    t_with_args(key, Some(&args))
+}
+
+// Get all translations for current language (for frontend)
+pub fn get_all_translations() -> HashMap<String, String> {
+    let lang = get_language();
+    get_translations_for(&lang)
+}
+
+// Get all translations for a specific language
+pub fn get_translations_for(lang: &str) -> HashMap<String, String> {
+    let mut result = HashMap::new();
+    
+    let bundles = match BUNDLES.get() {
+        Some(b) => b,
+        None => return result,
+    };
+    
+    let bundle = match bundles.get(lang) {
+        Some(b) => b,
+        None => match bundles.get(DEFAULT_LANGUAGE) {
+            Some(b) => b,
+            None => return result,
+        },
+    };
+
+    // get source for this language and extract all keys
+    let source = match lang {
+        "ru" => LOCALE_RU,
+        "en" => LOCALE_EN,
+        "ua" => LOCALE_UA,
+        _ => LOCALE_RU,
+    };
+
+    // parse keys from FTL source (lines that have "=" and don't start with "#" or "-")
+    for line in source.lines() {
+        let line = line.trim();
+        if line.is_empty() || line.starts_with('#') || line.starts_with('-') {
+            continue;
+        }
+        
+        if let Some(key) = line.split('=').next() {
+            let key = key.trim();
+            if !key.is_empty() && !key.contains(' ') {
+                if let Some(msg) = bundle.get_message(key) {
+                    if let Some(pattern) = msg.value() {
+                        let mut errors = vec![];
+                        let value = bundle.format_pattern(pattern, None, &mut errors);
+                        result.insert(key.to_string(), value.to_string());
+                    }
+                }
+            }
+        }
+    }
+    
+    result
+}

crates/jarvis-core/src/i18n/locales/en.ftl

@@ -0,0 +1,143 @@
+# ### APP INFO
+app-name = JARVIS
+app-description = Voice Assistant
+
+# ### TRAY MENU
+tray-restart = Restart
+tray-settings = Settings
+tray-exit = Exit
+tray-tooltip = JARVIS - Voice Assistant
+tray-language = Language
+tray-voice = Voice
+tray-wake-word = Wake Word Engine
+tray-noise-suppression = Noise Suppression
+tray-vad = Voice Activity Detection
+tray-gain-normalizer = Gain Normalizer
+
+# ### HEADER
+header-commands = COMMANDS
+header-settings = SETTINGS
+
+# ### SEARCH
+search-placeholder = Enter a command manually or say «Jarvis» ...
+
+# ### MAIN PAGE
+assistant-not-running = ASSISTANT NOT RUNNING
+assistant-offline-hint = You can configure it without starting.
+btn-start = START
+btn-starting = STARTING...
+
+# ### STATUS
+status-disconnected = Disconnected
+status-standby = Standby
+status-listening = Listening...
+status-processing = Processing...
+
+# ### STATS
+stats-microphone = MICROPHONE
+stats-neural-networks = NEURAL NETWORKS
+stats-resources = RESOURCES
+stats-system-default = System Default
+stats-not-selected = Not selected
+stats-loading = Loading...
+
+# ### FOOTER
+footer-author = Project author
+footer-telegram = Our Telegram channel
+footer-github = Github repository
+footer-support = Support the project on
+
+# ### SETTINGS
+settings-title = Settings
+settings-general = General
+settings-devices = Devices
+settings-neural-networks = Neural Networks
+settings-audio = Audio
+settings-recognition = Recognition
+settings-about = About
+settings-language = Language
+settings-microphone = Microphone
+settings-microphone-desc = The assistant will listen to this microphone.
+settings-mic-default = Default (System)
+settings-voice = Assistant voice
+settings-voice-desc =
+    Not all commands work with all sound packs.
+    Click to listen the preview of sound.
+settings-wake-word-engine = Wake word engine
+settings-wake-word-desc = Choose the engine for wake word recognition.
+settings-stt-engine = Speech recognition
+settings-intent-engine = Intent recognition
+settings-intent-engine-desc = Select neural network for command recognition.
+settings-noise-suppression = Noise suppression
+settings-noise-suppression-desc = Reduces background noise. May negatively affect recognition.
+settings-vad = Voice detection (VAD)
+settings-vad-desc = Skips silence, saves CPU resources.
+settings-gain-normalizer = Gain normalizer
+settings-gain-normalizer-desc = Automatically adjusts volume level.
+settings-api-keys = API Keys
+settings-save = Save
+settings-cancel = Cancel
+settings-back = Back
+settings-enabled = Enabled
+settings-disabled = Disabled
+
+# settings - beta notice
+settings-beta-title = BETA version!
+settings-beta-desc = Some features may not work correctly.
+settings-beta-feedback = Report all bugs to
+settings-beta-bot = our Telegram bot
+settings-open-logs = Open logs folder
+
+# settings - picovoice
+settings-attention = Attention!
+settings-picovoice-warning = This neural network doesn't work for everyone!
+settings-picovoice-waiting = We are waiting for an official patch from the developers.
+settings-picovoice-key-desc = Enter your Picovoice key here. It is issued for free upon registration at
+settings-picovoice-key = Picovoice Key
+
+# settings - vosk
+settings-auto-detect = Auto-detect
+settings-vosk-model = Speech recognition model (Vosk)
+settings-vosk-model-desc =
+    Select Vosk model for speech recognition.
+    You can download models here: https://alphacephei.com/vosk/models
+settings-models-not-found = Models not found
+settings-models-hint = Place Vosk models in resources/vosk folder
+
+# settings - openai
+settings-openai-key = OpenAI Key
+settings-openai-not-supported = ChatGPT is not currently supported. It will be added in future updates.
+
+# ### COMMANDS PAGE
+commands-title = Commands
+commands-search = Search commands...
+commands-count = { $count } commands
+commands-wip-title = [404] This section is under development!
+commands-wip-desc = Here will be a list of commands + full-featured command editor.
+commands-wip-follow = Follow updates in
+commands-wip-channel = our Telegram channel
+
+# ### ERRORS
+error-generic = An error occurred
+error-connection = Connection error
+error-not-found = Not found
+
+# ### NOTIFICATIONS
+notification-saved = Settings saved!
+notification-error = Error
+notification-assistant-started = Assistant started
+notification-assistant-stopped = Assistant stopped
+
+# SLOTS EXTRACTION
+settings-slot-engine = Slot extraction
+settings-slot-engine-desc = Extract parameters from voice commands (e.g. city name, number).
+settings-gliner-model = GLiNER ONNX model
+settings-gliner-model-desc =
+    Select model variant.
+    Smaller quantized models (int8, uint8) are faster but less accurate.
+settings-gliner-models-hint = No GLiNER models found.
+
+# ETC
+search-error-not-running = Assistant is not running
+search-error-failed = Failed to execute command
+settings-no-voices = No voices found

crates/jarvis-core/src/i18n/locales/ru.ftl

@@ -0,0 +1,143 @@
+# APP INFO
+app-name = JARVIS
+app-description = Голосовой ассистент
+
+# TRAY MENU
+tray-restart = Перезапустить
+tray-settings = Настройки
+tray-exit = Выход
+tray-tooltip = JARVIS - Голосовой ассистент
+tray-language = Язык
+tray-voice = Голос
+tray-wake-word = Движок wake-word
+tray-noise-suppression = Шумоподавление
+tray-vad = Детекция голоса (VAD)
+tray-gain-normalizer = Нормализация громкости
+
+# HEADER
+header-commands = КОМАНДЫ
+header-settings = НАСТРОЙКИ
+
+# SEARCH
+search-placeholder = Введите команду вручную или произнесите «Джарвис» ...
+
+# MAIN PAGE
+assistant-not-running = АССИСТЕНТ НЕ ЗАПУЩЕН
+assistant-offline-hint = Настроить его можно не запуская.
+btn-start = ЗАПУСТИТЬ
+btn-starting = ЗАПУСК...
+
+# STATUS
+status-disconnected = Отключен
+status-standby = Ожидание
+status-listening = Слушаю...
+status-processing = Обработка...
+
+# STATS
+stats-microphone = МИКРОФОН
+stats-neural-networks = НЕЙРОСЕТИ
+stats-resources = РЕСУРСЫ
+stats-system-default = Системный
+stats-not-selected = Не выбран
+stats-loading = Загрузка...
+
+# FOOTER
+footer-author = Автор проекта
+footer-telegram = Наш телеграм канал
+footer-github = Github репозиторий проекта
+footer-support = Поддержать проект на
+
+# SETTINGS
+settings-title = Настройки
+settings-general = Основные
+settings-devices = Устройства
+settings-neural-networks = Нейросети
+settings-audio = Аудио
+settings-recognition = Распознавание
+settings-about = О программе
+settings-language = Язык
+settings-microphone = Микрофон
+settings-microphone-desc = Его будет слушать ассистент.
+settings-mic-default = По умолчанию (Система)
+settings-voice = Голос ассистента
+settings-voice-desc =
+    Не все команды работают со всеми звуковыми пакетами.
+    Кликните, чтобы прослушать как звучит голос.
+settings-wake-word-engine = Движок активации
+settings-wake-word-desc = Выберите нейросеть для распознавания активационной фразы.
+settings-stt-engine = Распознавание речи
+settings-intent-engine = Определение намерения
+settings-intent-engine-desc = Выберите нейросеть для распознавания команд.
+settings-noise-suppression = Шумоподавление
+settings-noise-suppression-desc = Уменьшает фоновый шум. Может негативно влиять на распознавание.
+settings-vad = Определение голоса (VAD)
+settings-vad-desc = Пропускает тишину, экономит ресурсы CPU.
+settings-gain-normalizer = Нормализация громкости
+settings-gain-normalizer-desc = Автоматически регулирует уровень громкости.
+settings-api-keys = API Ключи
+settings-save = Сохранить
+settings-cancel = Отмена
+settings-back = Назад
+settings-enabled = Включено
+settings-disabled = Отключено
+
+# settings - beta notice
+settings-beta-title = БЕТА версия!
+settings-beta-desc = Часть функций может работать некорректно.
+settings-beta-feedback = Сообщайте обо всех найденных багах в
+settings-beta-bot = наш телеграм бот
+settings-open-logs = Открыть папку с логами
+
+# settings - picovoice
+settings-attention = Внимание!
+settings-picovoice-warning = Эта нейросеть работает не у всех!
+settings-picovoice-waiting = Мы ждем официального патча от разработчиков.
+settings-picovoice-key-desc = Введите сюда свой ключ Picovoice. Он выдается бесплатно при регистрации в
+settings-picovoice-key = Ключ Picovoice
+
+# settings - vosk
+settings-auto-detect = Авто-определение
+settings-vosk-model = Модель распознавания речи (Vosk)
+settings-vosk-model-desc =
+    Выберите модель Vosk для распознавания речи.
+    Вы можете скачать модели здесь: https://alphacephei.com/vosk/models
+settings-models-not-found = Модели не найдены
+settings-models-hint = Поместите модели Vosk в папку resources/vosk
+
+# settings - openai
+settings-openai-key = Ключ OpenAI
+settings-openai-not-supported = В данный момент ChatGPT не поддерживается. Он будет добавлен в ближайших обновлениях.
+
+# COMMANDS PAGE
+commands-title = Команды
+commands-search = Поиск команд...
+commands-count = { $count } команд
+commands-wip-title = [404] Этот раздел еще находится в разработке!
+commands-wip-desc = Тут будет список команд + полноценный редактор команд.
+commands-wip-follow = Следите за обновлениями в
+commands-wip-channel = нашем телеграм канале
+
+# ERRORS
+error-generic = Произошла ошибка
+error-connection = Ошибка подключения
+error-not-found = Не найдено
+
+# NOTIFICATIONS
+notification-saved = Настройки сохранены!
+notification-error = Ошибка
+notification-assistant-started = Ассистент запущен
+notification-assistant-stopped = Ассистент остановлен
+
+# SLOTS EXTRACTION
+settings-slot-engine = Извлечение параметров
+settings-slot-engine-desc = Извлекает параметры из голосовых команд (напр. название города, число).
+settings-gliner-model = Модель GLiNER ONNX
+settings-gliner-model-desc =
+    Выберите вариант модели.
+    Квантизированные модели (int8, uint8) быстрее, но менее точны.
+settings-gliner-models-hint = Модели GLiNER не найдены.
+
+# ETC
+search-error-not-running = Ассистент не запущен
+search-error-failed = Не удалось выполнить команду
+settings-no-voices = Голоса не найдены

crates/jarvis-core/src/i18n/locales/ua.ftl

@@ -0,0 +1,143 @@
+# ### APP INFO
+app-name = JARVIS
+app-description = Голосовий асистент
+
+# ### TRAY MENU
+tray-restart = Перезапустити
+tray-settings = Налаштування
+tray-exit = Вихід
+tray-tooltip = JARVIS - Голосовий асистент
+tray-language = Мова
+tray-voice = Голос
+tray-wake-word = Рушій детекції
+tray-noise-suppression = Шумозаглушення
+tray-vad = Детекцiя голосу (VAD)
+tray-gain-normalizer = Нормалізація гучності
+
+# ### HEADER
+header-commands = КОМАНДИ
+header-settings = НАЛАШТУВАННЯ
+
+# ### SEARCH
+search-placeholder = Введіть команду вручну або скажіть «Джарвіс» ...
+
+# ### MAIN PAGE
+assistant-not-running = АСИСТЕНТ НЕ ЗАПУЩЕНО
+assistant-offline-hint = Налаштувати його можна не запускаючи.
+btn-start = ЗАПУСТИТИ
+btn-starting = ЗАПУСК...
+
+# ### STATUS
+status-disconnected = Відключено
+status-standby = Очікування
+status-listening = Слухаю...
+status-processing = Обробка...
+
+# ### STATS
+stats-microphone = МІКРОФОН
+stats-neural-networks = НЕЙРОМЕРЕЖІ
+stats-resources = РЕСУРСИ
+stats-system-default = Системний
+stats-not-selected = Не вибрано
+stats-loading = Завантаження...
+
+# ### FOOTER
+footer-author = Автор проєкту
+footer-telegram = Наш телеграм канал
+footer-github = Github репозиторій проєкту
+footer-support = Підтримати проєкт на
+
+# ### SETTINGS
+settings-title = Налаштування
+settings-general = Основні
+settings-devices = Пристрої
+settings-neural-networks = Нейромережі
+settings-audio = Аудіо
+settings-recognition = Розпізнавання
+settings-about = Про програму
+settings-language = Мова
+settings-microphone = Мікрофон
+settings-microphone-desc = Його буде слухати асистент.
+settings-mic-default = За замовчуванням (Система)
+settings-voice = Голос асистента
+settings-voice-desc =
+    Не всі команди працюють з усіма звуковими пакетами.
+    Натисніть, щоб прослухати як звучить голос.
+settings-wake-word-engine = Рушій активації
+settings-wake-word-desc = Виберіть нейромережу для розпізнавання активаційної фрази.
+settings-stt-engine = Розпізнавання мовлення
+settings-intent-engine = Визначення наміру
+settings-intent-engine-desc = Виберіть нейромережу для розпізнавання команд.
+settings-noise-suppression = Шумозаглушення
+settings-noise-suppression-desc = Зменшує фоновий шум. Може негативно впливати на розпізнавання.
+settings-vad = Визначення голосу (VAD)
+settings-vad-desc = Пропускає тишу, економить ресурси CPU.
+settings-gain-normalizer = Нормалізація гучності
+settings-gain-normalizer-desc = Автоматично регулює рівень гучності.
+settings-api-keys = API Ключі
+settings-save = Зберегти
+settings-cancel = Скасувати
+settings-back = Назад
+settings-enabled = Увімкнено
+settings-disabled = Вимкнено
+
+# settings - beta notice
+settings-beta-title = БЕТА версія!
+settings-beta-desc = Частина функцій може працювати некоректно.
+settings-beta-feedback = Повідомляйте про всі знайдені баги в
+settings-beta-bot = наш телеграм бот
+settings-open-logs = Відкрити папку з логами
+
+# settings - picovoice
+settings-attention = Увага!
+settings-picovoice-warning = Ця нейромережа працює не у всіх!
+settings-picovoice-waiting = Ми чекаємо офіційного патча від розробників.
+settings-picovoice-key-desc = Введіть сюди свій ключ Picovoice. Він видається безкоштовно при реєстрації в
+settings-picovoice-key = Ключ Picovoice
+
+# settings - vosk
+settings-auto-detect = Авто-визначення
+settings-vosk-model = Модель розпізнавання мовлення (Vosk)
+settings-vosk-model-desc =
+    Виберіть модель Vosk для розпізнавання мовлення.
+    Ви можете завантажити моделі тут: https://alphacephei.com/vosk/models
+settings-models-not-found = Моделі не знайдено
+settings-models-hint = Помістіть моделі Vosk в папку resources/vosk
+
+# settings - openai
+settings-openai-key = Ключ OpenAI
+settings-openai-not-supported = Наразі ChatGPT не підтримується. Він буде доданий у наступних оновленнях.
+
+# ### COMMANDS PAGE
+commands-title = Команди
+commands-search = Пошук команд...
+commands-count = { $count } команд
+commands-wip-title = [404] Цей розділ ще в розробці!
+commands-wip-desc = Тут буде список команд + повноцінний редактор команд.
+commands-wip-follow = Слідкуйте за оновленнями в
+commands-wip-channel = нашому телеграм каналі
+
+# ### ERRORS
+error-generic = Сталася помилка
+error-connection = Помилка підключення
+error-not-found = Не знайдено
+
+# ### NOTIFICATIONS
+notification-saved = Налаштування збережено!
+notification-error = Помилка
+notification-assistant-started = Асистент запущено
+notification-assistant-stopped = Асистент зупинено
+
+# SLOTS EXTRACTION
+settings-slot-engine = Витяг параметрів
+settings-slot-engine-desc = Витягує параметри з голосових команд (напр. назва міста, число).
+settings-gliner-model = Модель GLiNER ONNX
+settings-gliner-model-desc = 
+    Оберіть варіант моделі.
+    Квантизовані моделі (int8, uint8) швидші, але менш точні.
+settings-gliner-models-hint = Моделі GLiNER не знайдено.
+
+# ETC
+search-error-not-running = Асистент не запущено
+search-error-failed = Не вдалося виконати команду
+settings-no-voices = Голоси не знайдено

crates/jarvis-core/src/intent.rs

@@ -0,0 +1,89 @@
+mod intentclassifier;
+mod embeddingclassifier;
+
+use std::path::PathBuf;
+
+use crate::{commands::{self, JCommandsList, JCommand}, config, models};
+use once_cell::sync::OnceCell;
+
+use crate::DB;
+
+static BACKEND: OnceCell<String> = OnceCell::new();
+
+pub async fn init(commands: &Vec<JCommandsList>) -> Result<(), String> {
+    if BACKEND.get().is_some() {
+        return Ok(());
+    }
+
+    let backend = DB.get().unwrap().read().intent_backend.clone();
+
+    BACKEND.set(backend.clone()).map_err(|_| "Backend already set")?;
+
+    match backend.as_str() {
+        "none" => {
+            info!("Intent recognition disabled");
+        }
+        "intent-classifier" => {
+            info!("Initializing IntentClassifier backend.");
+            intentclassifier::init(&commands).await?;
+            info!("IntentClassifier backend initialized.");
+        }
+        // any other value is treated as a model ID for embedding classification
+        model_id => {
+            info!("Initializing EmbeddingClassifier with model '{}'.", model_id);
+            let model = models::embedding::load(models::registry(), model_id)?;
+            embeddingclassifier::init_with_model(model, &commands)?;
+            info!("EmbeddingClassifier backend initialized.");
+        }
+    }
+
+    Ok(())
+}
+
+pub async fn classify(text: &str) -> Option<(String, f64)> {
+    match BACKEND.get()?.as_str() {
+        "none" => None,
+        "intent-classifier" => {
+            match intentclassifier::classify(text).await {
+                Ok(prediction) => {
+                    let confidence = prediction.confidence.value();
+                    if confidence >= config::INTENT_CLASSIFIER_MIN_CONFIDENCE {
+                        Some((prediction.intent.to_string(), confidence))
+                    } else {
+                        None
+                    }
+                }
+                Err(e) => {
+                    error!("Intent classification error: {}", e);
+                    None
+                }
+            }
+        }
+        _ => {
+            match embeddingclassifier::classify(text) {
+                Ok((intent_id, confidence)) => {
+                    if confidence >= config::EMBEDDING_MIN_CONFIDENCE {
+                        Some((intent_id, confidence))
+                    } else {
+                        None
+                    }
+                }
+                Err(e) => {
+                    error!("Embedding classification error: {}", e);
+                    None
+                }
+            }
+        }
+    }
+}
+
+// unified command lookup by intent ID - works for all backends
+pub fn get_command_by_intent<'a>(
+    commands: &'a [JCommandsList],
+    intent_id: &str,
+) -> Option<(&'a PathBuf, &'a JCommand)> {
+    if matches!(BACKEND.get().map(|s| s.as_str()), Some("none")) {
+        return None;
+    }
+    commands::get_command_by_id(commands, intent_id)
+}

crates/jarvis-core/src/intent/embeddingclassifier.rs

@@ -0,0 +1,195 @@
+use std::path::PathBuf;
+use std::sync::Arc;
+use std::fs;
+
+use once_cell::sync::OnceCell;
+
+use crate::commands::JCommandsList;
+use crate::i18n;
+use crate::APP_CONFIG_DIR;
+use crate::models::embedding::EmbeddingModel;
+
+// no outer Mutex needed - state is immutable after init.
+// the embedding model has its own internal Mutex.
+static CLASSIFIER: OnceCell<EmbeddingClassifierState> = OnceCell::new();
+
+struct IntentVector {
+    id: String,
+    vector: Vec<f32>,
+}
+
+struct EmbeddingClassifierState {
+    model: Arc<EmbeddingModel>,
+    intents: Vec<IntentVector>,
+}
+
+// model is Arc (Send+Sync), intents are read-only after init
+unsafe impl Send for EmbeddingClassifierState {}
+unsafe impl Sync for EmbeddingClassifierState {}
+
+const CACHE_FILE: &str = "embedding_intents.json";
+const HASH_FILE: &str = "embedding_hash.txt";
+
+// init with a model loaded through the registry
+pub fn init_with_model(model: Arc<EmbeddingModel>, commands: &[JCommandsList]) -> Result<(), String> {
+    if CLASSIFIER.get().is_some() {
+        return Ok(());
+    }
+
+    info!("Initializing embedding classifier...");
+
+    let current_hash = crate::commands::commands_hash(commands);
+    let config_dir = APP_CONFIG_DIR.get().ok_or("Config dir not set")?;
+    let hash_path = config_dir.join(HASH_FILE);
+    let cache_path = config_dir.join(CACHE_FILE);
+
+    // check if cached vectors are still valid
+    let should_retrain = if hash_path.exists() && cache_path.exists() {
+        let stored_hash = fs::read_to_string(&hash_path).unwrap_or_default();
+        stored_hash.trim() != current_hash
+    } else {
+        true
+    };
+
+    let intents = if should_retrain {
+        info!("Building intent vectors from commands...");
+        let intents = build_intent_vectors(&model, commands)?;
+        
+        // cache to disk
+        if let Ok(json) = serde_json::to_string(&intents_to_cache(&intents)) {
+            let _ = fs::write(&cache_path, json);
+            let _ = fs::write(&hash_path, &current_hash);
+            info!("Intent vectors cached");
+        }
+        
+        intents
+    } else {
+        info!("Loading cached intent vectors...");
+        load_cached_intents(&cache_path)?
+    };
+
+    info!("Embedding classifier ready with {} intents", intents.len());
+
+    CLASSIFIER.set(EmbeddingClassifierState { model, intents })
+        .map_err(|_| "Classifier already set".to_string())?;
+
+    Ok(())
+}
+
+fn build_intent_vectors(
+    model: &EmbeddingModel,
+    commands: &[JCommandsList],
+) -> Result<Vec<IntentVector>, String> {
+    let lang = i18n::get_language();
+    let mut intents = Vec::new();
+
+    for cmd_list in commands {
+        for cmd in &cmd_list.commands {
+            let phrases = cmd.get_phrases(&lang);
+            if phrases.is_empty() {
+                continue;
+            }
+
+            let texts: Vec<&str> = phrases.iter().map(|s| s.as_str()).collect();
+            
+            let embeddings = model.embedding.lock().embed(texts, None)
+                .map_err(|e| format!("Embedding failed for '{}': {}", cmd.id, e))?;
+
+            // average all phrase vectors into one intent vector
+            let dim = embeddings[0].len();
+            let mut avg = vec![0.0f32; dim];
+            
+            for emb in &embeddings {
+                for (i, val) in emb.iter().enumerate() {
+                    avg[i] += val;
+                }
+            }
+            
+            let count = embeddings.len() as f32;
+            for val in &mut avg {
+                *val /= count;
+            }
+
+            // normalize
+            let norm: f32 = avg.iter().map(|v| v * v).sum::<f32>().sqrt();
+            if norm > 0.0 {
+                for val in &mut avg {
+                    *val /= norm;
+                }
+            }
+
+            intents.push(IntentVector {
+                id: cmd.id.clone(),
+                vector: avg,
+            });
+        }
+    }
+
+    Ok(intents)
+}
+
+pub fn classify(text: &str) -> Result<(String, f64), String> {
+    let state = CLASSIFIER.get().ok_or("Classifier not initialized")?;
+    
+    // only the embedding model needs locking, intents are read-only
+    let embeddings = state.model.embedding.lock().embed(vec![text], None)
+        .map_err(|e| format!("Failed to embed query: {}", e))?;
+    
+    let mut query_vec = embeddings.into_iter().next()
+        .ok_or("Empty embedding result")?;
+
+    // normalize query
+    let norm: f32 = query_vec.iter().map(|v| v * v).sum::<f32>().sqrt();
+    if norm > 0.0 {
+        for val in &mut query_vec {
+            *val /= norm;
+        }
+    }
+
+    // cosine similarity - track index, clone only the winner
+    let mut best_idx: usize = 0;
+    let mut best_score: f64 = -1.0;
+
+    for (i, intent) in state.intents.iter().enumerate() {
+        let score: f64 = query_vec.iter()
+            .zip(intent.vector.iter())
+            .map(|(a, b)| (*a as f64) * (*b as f64))
+            .sum();
+
+        if score > best_score {
+            best_score = score;
+            best_idx = i;
+        }
+    }
+
+    let best_id = state.intents[best_idx].id.clone();
+    debug!("Embedding classify: '{}' -> '{}' ({:.2}%)", text, best_id, best_score * 100.0);
+
+    Ok((best_id, best_score))
+}
+
+#[derive(serde::Serialize, serde::Deserialize)]
+struct CachedIntent {
+    id: String,
+    vector: Vec<f32>,
+}
+
+fn intents_to_cache(intents: &[IntentVector]) -> Vec<CachedIntent> {
+    intents.iter().map(|i| CachedIntent {
+        id: i.id.clone(),
+        vector: i.vector.clone(),
+    }).collect()
+}
+
+fn load_cached_intents(path: &PathBuf) -> Result<Vec<IntentVector>, String> {
+    let json = fs::read_to_string(path)
+        .map_err(|e| format!("Failed to read cache: {}", e))?;
+    
+    let cached: Vec<CachedIntent> = serde_json::from_str(&json)
+        .map_err(|e| format!("Failed to parse cache: {}", e))?;
+    
+    Ok(cached.into_iter().map(|c| IntentVector {
+        id: c.id,
+        vector: c.vector,
+    }).collect())
+}

crates/jarvis-core/src/intent/intentclassifier.rs

@@ -0,0 +1,96 @@
+use intent_classifier::{
+    IntentPrediction, IntentError,
+    TrainingExample, TrainingSource, IntentId
+};
+
+use std::sync::Arc;
+use std::fs;
+
+use crate::commands::{self, JCommandsList};
+use crate::models;
+use crate::models::intent_classifier::IntentClassifierModel;
+use crate::{APP_CONFIG_DIR, i18n};
+
+use once_cell::sync::OnceCell;
+
+static MODEL: OnceCell<Arc<IntentClassifierModel>> = OnceCell::new();
+
+const TRAINING_CACHE_FILE: &str = "intent_training.json";
+const COMMANDS_HASH_FILE: &str = "commands_hash.txt";
+
+pub async fn init(commands: &[JCommandsList]) -> Result<(), String> {
+    let current_hash = commands::commands_hash(&commands);
+    
+    let model = models::intent_classifier::load(models::registry(), "intent-classifier").await?;
+    
+    // check if we can use cached training data
+    let config_dir = APP_CONFIG_DIR.get().ok_or("Config dir not set")?;
+    let hash_path = config_dir.join(COMMANDS_HASH_FILE);
+    let cache_path = config_dir.join(TRAINING_CACHE_FILE);
+    
+    let should_retrain = if hash_path.exists() && cache_path.exists() {
+        let stored_hash = fs::read_to_string(&hash_path).unwrap_or_default();
+        stored_hash.trim() != current_hash
+    } else {
+        true
+    };
+    
+    if should_retrain {
+        info!("Training intent classifier with {} commands...", commands.len());
+        train_classifier(&model.classifier, &commands).await?;
+        
+        if let Ok(export) = model.classifier.export_training_data().await {
+            let _ = fs::write(&cache_path, export);
+            let _ = fs::write(&hash_path, &current_hash);
+            info!("Training data cached.");
+        }
+    } else {
+        info!("Loading cached training data...");
+        if let Ok(data) = fs::read_to_string(&cache_path) {
+            model.classifier.import_training_data(&data).await
+                .map_err(|e| format!("Failed to import training data: {}", e))?;
+        }
+    }
+    
+    MODEL.set(model).map_err(|_| "Model already set")?;
+    
+    Ok(())
+}
+
+pub async fn classify(text: &str) -> Result<IntentPrediction, IntentError> {
+    let model = MODEL.get().expect("IntentClassifier not initialized");
+    model.classifier.predict_intent(text).await
+}
+
+async fn train_classifier(
+    classifier: &intent_classifier::IntentClassifier,
+    commands: &[JCommandsList]
+) -> Result<(), String> {
+    let lang = i18n::get_language();
+    info!("Training intent classifier for language: {}", lang);
+
+    let mut total_examples = 0;
+
+    for assistant_cmd in commands {
+        for cmd in &assistant_cmd.commands {
+            let phrases = cmd.get_phrases(&lang);
+            
+            for phrase in phrases.iter() {
+                let example = TrainingExample {
+                    text: phrase.clone(),
+                    intent: IntentId::from(cmd.id.as_str()),
+                    confidence: 1.0,
+                    source: TrainingSource::Programmatic,
+                };
+                
+                classifier.add_training_example(example).await
+                    .map_err(|e| format!("Failed to add training example: {}", e))?;
+                
+                total_examples += 1;
+            }
+        }
+    }
+
+    info!("Added {} training examples for language '{}'", total_examples, lang);
+    Ok(())
+}

crates/jarvis-core/src/ipc.rs

@@ -0,0 +1,5 @@
+mod events;
+mod server;
+
+pub use events::{IpcAction, IpcEvent};
+pub use server::{init, send, set_action_handler, start_server, has_clients, IPC_ADDR, IPC_PORT};

crates/jarvis-core/src/ipc/events.rs

@@ -0,0 +1,59 @@
+use serde::{Deserialize, Serialize};
+
+// Events sent from jarvis-app to GUI
+#[derive(Clone, Debug, Serialize)]
+#[serde(tag = "event", rename_all = "snake_case")]
+pub enum IpcEvent {
+    // Wake word detected, starting to listen
+    WakeWordDetected,
+    
+    // Actively listening for command
+    Listening,
+    
+    // Speech recognized
+    SpeechRecognized { text: String },
+
+    // LLM produced a reply for a free-form question
+    LlmReply { text: String },
+    
+    // Command was executed
+    CommandExecuted { id: String, success: bool },
+    
+    // Returned to idle state
+    Idle,
+    
+    // Error occurred
+    Error { message: String },
+    
+    // App started
+    Started,
+    
+    // App is shutting down
+    Stopping,
+    
+    // Pong response
+    Pong,
+
+    // request GUI to reveal/focus window
+    RevealWindow,
+}
+
+// Actions sent from GUI to jarvis-app
+#[derive(Clone, Debug, Deserialize)]
+#[serde(tag = "action", rename_all = "snake_case")]
+pub enum IpcAction {
+    // Request graceful shutdown
+    Stop,
+    
+    // Reload commands from disk
+    ReloadCommands,
+    
+    // Ping to check connection
+    Ping,
+    
+    // Mute/unmute listening
+    SetMuted { muted: bool },
+
+    // Execute text command
+    TextCommand { text: String },
+}

crates/jarvis-core/src/ipc/server.rs

@@ -0,0 +1,198 @@
+use std::net::SocketAddr;
+use std::sync::Arc;
+
+use futures_util::{SinkExt, StreamExt};
+use once_cell::sync::OnceCell;
+use parking_lot::RwLock;
+use tokio::net::{TcpListener, TcpStream};
+use tokio::sync::broadcast;
+use tokio_tungstenite::{accept_async, tungstenite::Message};
+
+use super::events::{IpcAction, IpcEvent};
+
+pub const IPC_PORT: u16 = 9712;
+pub const IPC_ADDR: &str = "127.0.0.1";
+
+static BROADCAST_TX: OnceCell<broadcast::Sender<IpcEvent>> = OnceCell::new();
+static ACTION_HANDLER: OnceCell<Arc<RwLock<Option<Box<dyn Fn(IpcAction) + Send + Sync>>>>> = OnceCell::new();
+
+// Initialize the IPC broadcast channel
+pub fn init() -> broadcast::Sender<IpcEvent> {
+    if let Some(tx) = BROADCAST_TX.get() {
+        return tx.clone();
+    }
+
+    let (tx, _) = broadcast::channel::<IpcEvent>(32);
+    BROADCAST_TX.set(tx.clone()).ok();
+    ACTION_HANDLER.set(Arc::new(RwLock::new(None))).ok();
+    
+    info!("IPC: Broadcast channel initialized");
+    tx
+}
+
+// Send event to all connected clients
+pub fn send(event: IpcEvent) {
+    if let Some(tx) = BROADCAST_TX.get() {
+        match tx.send(event.clone()) {
+            Ok(n) => {
+                if n > 0 {
+                    debug!("IPC: Sent {:?} to {} client(s)", event, n);
+                }
+            }
+            Err(_) => {
+                // no receivers, that's fine
+            }
+        }
+    }
+}
+
+// Register handler for incoming actions from GUI
+pub fn set_action_handler<F>(handler: F)
+where
+    F: Fn(IpcAction) + Send + Sync + 'static,
+{
+    if let Some(h) = ACTION_HANDLER.get() {
+        *h.write() = Some(Box::new(handler));
+    }
+}
+
+fn handle_action(action: IpcAction) {
+    info!("IPC: Received action {:?}", action);
+    
+    // handle ping internally
+    if matches!(action, IpcAction::Ping) {
+        send(IpcEvent::Pong);
+        return;
+    }
+    
+    // forward to registered handler
+    if let Some(handler_lock) = ACTION_HANDLER.get() {
+        let handler = handler_lock.read();
+        if let Some(ref h) = *handler {
+            h(action);
+        }
+    }
+}
+
+// Start the WebSocket server (blocking)
+pub async fn start_server() {
+    let addr = format!("{}:{}", IPC_ADDR, IPC_PORT);
+    let socket_addr: SocketAddr = addr.parse().expect("Invalid IPC address");
+
+    let listener = match TcpListener::bind(&socket_addr).await {
+        Ok(l) => {
+            info!("IPC: WebSocket server listening on ws://{}", addr);
+            l
+        }
+        Err(e) => {
+            error!("IPC: Failed to bind to {}: {}", addr, e);
+            return;
+        }
+    };
+
+    // notify that we're ready
+    send(IpcEvent::Started);
+
+    while let Ok((stream, peer_addr)) = listener.accept().await {
+        info!("IPC: Client connecting from {}", peer_addr);
+        
+        let rx = BROADCAST_TX
+            .get()
+            .map(|tx| tx.subscribe())
+            .expect("IPC not initialized");
+
+        tokio::spawn(handle_client(stream, peer_addr, rx));
+    }
+}
+
+async fn handle_client(
+    stream: TcpStream,
+    peer_addr: SocketAddr,
+    mut event_rx: broadcast::Receiver<IpcEvent>,
+) {
+    let ws_stream = match accept_async(stream).await {
+        Ok(ws) => {
+            info!("IPC: Client connected: {}", peer_addr);
+            ws
+        }
+        Err(e) => {
+            error!("IPC: WebSocket handshake failed for {}: {}", peer_addr, e);
+            return;
+        }
+    };
+
+    let (mut ws_tx, mut ws_rx) = ws_stream.split();
+
+    loop {
+        tokio::select! {
+            // forward events to client
+            event_result = event_rx.recv() => {
+                match event_result {
+                    Ok(event) => {
+                        let json = match serde_json::to_string(&event) {
+                            Ok(j) => j,
+                            Err(e) => {
+                                error!("IPC: Failed to serialize event: {}", e);
+                                continue;
+                            }
+                        };
+
+                        if ws_tx.send(Message::Text(json.into())).await.is_err() {
+                            info!("IPC: Client {} disconnected (send failed)", peer_addr);
+                            break;
+                        }
+                    }
+                    Err(broadcast::error::RecvError::Lagged(n)) => {
+                        warn!("IPC: Client {} lagged {} events", peer_addr, n);
+                    }
+                    Err(broadcast::error::RecvError::Closed) => {
+                        info!("IPC: Broadcast channel closed");
+                        break;
+                    }
+                }
+            }
+
+            // receive messages from client
+            msg_result = ws_rx.next() => {
+                match msg_result {
+                    Some(Ok(Message::Text(text))) => {
+                        match serde_json::from_str::<IpcAction>(&text) {
+                            Ok(action) => handle_action(action),
+                            Err(e) => {
+                                warn!("IPC: Invalid action from {}: {} ({})", peer_addr, text, e);
+                            }
+                        }
+                    }
+                    Some(Ok(Message::Ping(data))) => {
+                        if ws_tx.send(Message::Pong(data)).await.is_err() {
+                            break;
+                        }
+                    }
+                    Some(Ok(Message::Close(_))) => {
+                        info!("IPC: Client {} sent close frame", peer_addr);
+                        break;
+                    }
+                    Some(Err(e)) => {
+                        error!("IPC: Error receiving from {}: {}", peer_addr, e);
+                        break;
+                    }
+                    None => {
+                        info!("IPC: Client {} stream ended", peer_addr);
+                        break;
+                    }
+                    _ => {}
+                }
+            }
+        }
+    }
+
+    info!("IPC: Client disconnected: {}", peer_addr);
+}
+
+pub fn has_clients() -> bool {
+    if let Some(tx) = BROADCAST_TX.get() {
+        tx.receiver_count() > 0
+    } else {
+        false
+    }
+}

crates/jarvis-core/src/lib.rs

@@ -0,0 +1,75 @@
+use once_cell::sync::{Lazy, OnceCell};
+use parking_lot::RwLock;
+use std::{sync::Arc};
+use platform_dirs::AppDirs;
+use std::path::PathBuf;
+
+#[macro_use]
+extern crate log;
+
+pub mod time;
+
+pub mod audio;
+pub mod commands;
+pub mod config;
+pub mod db;
+pub mod i18n;
+
+#[cfg(feature = "jarvis_app")]
+pub mod listener;
+
+pub mod recorder;
+
+#[cfg(feature = "jarvis_app")]
+pub mod stt;
+
+#[cfg(feature = "intent")]
+pub mod intent;
+
+#[cfg(feature = "jarvis_app")]
+pub mod slots;
+
+pub mod models;
+
+// re-exported from models/
+pub use models::vosk_models;
+pub use models::gliner_models;
+
+#[cfg(feature = "jarvis_app")]
+pub mod audio_processing;
+
+#[cfg(feature = "jarvis_app")]
+pub mod ipc;
+
+pub mod voices;
+
+pub mod audio_buffer;
+
+#[cfg(feature = "lua")]
+pub mod lua;
+
+#[cfg(feature = "llm")]
+pub mod llm;
+
+// shared statics
+// pub static APP_DIR: Lazy<PathBuf> = Lazy::new(|| std::env::current_dir().unwrap());
+pub static APP_DIR: Lazy<PathBuf> = Lazy::new(|| {
+    std::env::current_exe()
+        .ok()
+        .and_then(|p| p.parent().map(|p| p.to_path_buf()))
+        .unwrap_or_else(|| std::env::current_dir().unwrap())
+});
+pub static SOUND_DIR: Lazy<PathBuf> = Lazy::new(|| APP_DIR.clone().join(config::SOUND_PATH));
+pub static APP_DIRS: OnceCell<AppDirs> = OnceCell::new();
+pub static APP_CONFIG_DIR: OnceCell<PathBuf> = OnceCell::new();
+pub static APP_LOG_DIR: OnceCell<PathBuf> = OnceCell::new();
+pub static DB: OnceCell<Arc<RwLock<db::structs::Settings>>> = OnceCell::new();
+pub static COMMANDS_LIST: OnceCell<Vec<JCommandsList>> = OnceCell::new();
+
+// re-exports
+pub use commands::JCommandsList;
+pub use config::structs::*;
+pub use db::structs::Settings;
+pub use db::SettingsManager;
+
+// use crate::commands::{JComandsList, JCommand};

crates/jarvis-core/src/listener.rs

@@ -0,0 +1,46 @@
+mod rustpotter;
+mod vosk;
+
+use once_cell::sync::OnceCell;
+
+use crate::config::structs::WakeWordEngine;
+
+use crate::DB;
+
+static WAKE_WORD_ENGINE: OnceCell<WakeWordEngine> = OnceCell::new();
+
+pub fn init() -> Result<(), String> {
+    if WAKE_WORD_ENGINE.get().is_some() {
+        return Ok(());
+    }
+
+    let engine = DB.get().unwrap().read().wake_word_engine;
+
+    WAKE_WORD_ENGINE.set(engine)
+        .map_err(|_| "Wake word engine already set".to_string())?;
+
+    match engine {
+        WakeWordEngine::Porcupine => {
+            Err("Porcupine wake-word engine is not supported".to_string())
+        }
+        WakeWordEngine::Rustpotter => {
+            info!("Initializing Rustpotter wake-word engine.");
+            rustpotter::init()
+                .map_err(|_| "Failed to init Rustpotter".to_string())
+        }
+        WakeWordEngine::Vosk => {
+            info!("Initializing Vosk as wake-word engine.");
+            warn!("Using Vosk as wake-word engine is highly not recommended, because it's very slow for this task.");
+            vosk::init()
+                .map_err(|_| "Failed to init Vosk wake-word".to_string())
+        }
+    }
+}
+
+pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+    match WAKE_WORD_ENGINE.get()? {
+        WakeWordEngine::Porcupine => None,
+        WakeWordEngine::Rustpotter => rustpotter::data_callback(frame_buffer),
+        WakeWordEngine::Vosk => vosk::data_callback(frame_buffer),
+    }
+}

crates/jarvis-core/src/listener/porcupine.rs

@@ -0,0 +1,56 @@
+use std::path::Path;
+
+use once_cell::sync::OnceCell;
+use porcupine::{Porcupine, PorcupineBuilder};
+
+use crate::config;
+use crate::DB;
+
+// store porcupine instance
+static PORCUPINE: OnceCell<Porcupine> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    let picovoice_api_key: String;
+
+    // retrieve picovoice api key
+    picovoice_api_key = DB.get().unwrap().api_keys.picovoice.clone();
+    if picovoice_api_key.trim().is_empty() {
+        warn!("Picovoice API key is not set.");
+        return Err(());
+    }
+
+    // create porcupine instance with the given API key
+    match PorcupineBuilder::new_with_keyword_paths(
+        picovoice_api_key,
+        &[Path::new(config::KEYWORDS_PATH).join(config::DEFAULT_KEYWORD)],
+    )
+    .sensitivities(&[config::DEFAULT_SENSITIVITY]) // set sensitivity
+    .init()
+    {
+        Ok(pinstance) => {
+            // success
+            info!("Porcupine successfully initialized with the given API key.");
+
+            // store
+            PORCUPINE.set(pinstance);
+        }
+        Err(msg) => {
+            error!("Porcupine failed to initialize, either API key is not valid or there is no internet connection.");
+            error!("Error details: {}", msg);
+
+            return Err(());
+        }
+    }
+
+    Ok(())
+}
+
+pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+    if let Ok(keyword_index) = PORCUPINE.get().unwrap().process(&frame_buffer) {
+        if keyword_index >= 0 {
+            return Some(keyword_index);
+        }
+    }
+
+    None
+}

crates/jarvis-core/src/listener/rustpotter.rs

@@ -0,0 +1,69 @@
+use std::sync::Mutex;
+
+use once_cell::sync::OnceCell;
+use rustpotter::Rustpotter;
+
+use crate::config;
+
+// store rustpotter instance
+static RUSTPOTTER: OnceCell<Mutex<Rustpotter>> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    let rustpotter_config = config::RUSTPOTTER_DEFAULT_CONFIG;
+
+    // create rustpotter instance
+    match Rustpotter::new(&rustpotter_config) {
+        Ok(mut rinstance) => {
+            // success
+            // wake word files list
+            // @TODO. Make it configurable via GUI for custom user voice.
+            let rustpotter_wake_word_files: [&str; 1] = [
+                "resources/rustpotter/jarvis-default.rpw",
+                // "rustpotter/jarvis-community-1.rpw",
+                // "rustpotter/jarvis-community-2.rpw",
+                // "rustpotter/jarvis-community-3.rpw",
+                // "rustpotter/jarvis-community-4.rpw",
+                // "rustpotter/jarvis-community-5.rpw",
+            ];
+
+            // load wake word files
+            for rpw in rustpotter_wake_word_files {
+                // @TODO: Change wakeword key to something else?
+                if let Err(e) = rinstance.add_wakeword_from_file(rpw, rpw) {
+                    error!("Failed to load wakeword file '{}': {}", rpw, e);
+                }
+            }
+
+            // store
+            let _ = RUSTPOTTER.set(Mutex::new(rinstance));
+        }
+        Err(msg) => {
+            error!("Rustpotter failed to initialize.\nError details: {}", msg);
+
+            return Err(());
+        }
+    }
+
+    Ok(())
+}
+
+pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+    let mut lock = RUSTPOTTER.get().unwrap().lock();
+    let rustpotter = lock.as_mut().unwrap();
+    // let detection = rustpotter.process_samples(frame_buffer.to_vec()); // @TODO. Temp crutch. Fix optimization issue, frame_buffer should not be copied to a new vector!
+    let detection = rustpotter.process_samples(frame_buffer);
+
+    // info!("Ruspotter data callback");
+
+    if let Some(detection) = detection {
+        if detection.score > config::RUSPOTTER_MIN_SCORE {
+            info!("Rustpotter detection info:\n{:?}", detection);
+
+            return Some(0);
+        } else {
+            info!("Rustpotter detection info:\n{:?}", detection)
+        }
+    }
+
+    None
+}

crates/jarvis-core/src/listener/vosk.rs

@@ -0,0 +1,76 @@
+use crate::{config, stt, i18n};
+
+pub fn init() -> Result<(), ()> {
+    Ok(()) // nothing to init for Vosk
+}
+
+pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+    if let Some((recognized, _confidence)) = stt::recognize_wake_word(frame_buffer) {
+        let recognized = recognized.trim().to_lowercase();
+        
+        // skip unknown/empty
+        if recognized.is_empty() || recognized == "[unk]" {
+            return None;
+        }
+        
+        info!("Wake word candidate: '{}'", recognized);
+        
+        // language-specific wake phrase
+        let lang = i18n::get_language();
+        let wake_phrases = config::get_wake_phrases(&lang);
+
+        // verify with seqdiff ratio
+        for word in recognized.split_whitespace() {
+            if word == "[unk]" {
+                continue;
+            }
+            
+            let word_chars: Vec<char> = word.chars().collect();
+            
+            for wake_phrase in wake_phrases {
+                let wake_chars: Vec<char> = wake_phrase.chars().collect();
+                let similarity = seqdiff::ratio(&wake_chars, &word_chars);
+                
+                if similarity >= config::VOSK_MIN_RATIO {
+                    info!("Wake word match: '{}' ~ '{}' ({:.1}%)", word, wake_phrase, similarity);
+                    return Some(0);
+                }
+            }
+        }
+        
+        // info!("Similarity: {:.1}% ('{}' vs '{}')", similarity, recognized, config::VOSK_FETCH_PHRASE);
+    }
+    
+    None
+}
+
+// @TODO. Make it better somehow (more accurate or with higher sensitivity).
+// pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+//     // recognize & convert to sequence
+//     let recognized_phrase = stt::recognize(&frame_buffer, true).unwrap_or("".into());
+
+//     if !recognized_phrase.trim().is_empty() {
+//         info!("Vosk wake-word debug info:");
+//         info!("rec: {}", recognized_phrase);
+//         let recognized_phrases = recognized_phrase.split_whitespace();
+//         for phrase in recognized_phrases {
+//             let recognized_phrase_chars = phrase.trim().to_lowercase().chars().collect::<Vec<_>>();
+
+//             // compare
+//             let compare_ratio = seqdiff::ratio(
+//                 &config::VOSK_FETCH_PHRASE.chars().collect::<Vec<_>>(),
+//                 &recognized_phrase_chars,
+//             );
+//             info!("og phrase: {:?}", &config::VOSK_FETCH_PHRASE);
+//             info!("recognized phrase: {:?}", &recognized_phrase_chars);
+//             info!("compare ratio: {}", compare_ratio);
+
+//             if compare_ratio >= config::VOSK_MIN_RATIO {
+//                 info!("Phrase activated.");
+//                 return Some(0);
+//             }
+//         }
+//     }
+
+//     None
+// }

crates/jarvis-core/src/llm/client.rs

@@ -0,0 +1,188 @@
+use serde::{Deserialize, Serialize};
+use std::env;
+use thiserror::Error;
+
+pub const DEFAULT_BASE_URL: &str = "https://api.groq.com/openai/v1";
+pub const DEFAULT_MODEL: &str = "llama-3.3-70b-versatile";
+pub const ENV_TOKEN: &str = "GROQ_TOKEN";
+pub const ENV_BASE_URL: &str = "GROQ_BASE_URL";
+pub const ENV_MODEL: &str = "GROQ_MODEL";
+
+#[derive(Debug, Error)]
+pub enum ConfigError {
+    #[error("missing environment variable: {0}")]
+    MissingEnv(&'static str),
+}
+
+#[derive(Debug, Error)]
+pub enum LlmError {
+    #[error("HTTP request failed: {0}")]
+    Http(#[from] reqwest::Error),
+    #[error("failed to parse response JSON: {0}")]
+    Deserialize(String),
+    #[error("API returned error (status {status}): {body}")]
+    Api { status: u16, body: String },
+    #[error("response contained no choices")]
+    EmptyResponse,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ChatMessage {
+    pub role: String,
+    pub content: String,
+}
+
+impl ChatMessage {
+    pub fn user(content: impl Into<String>) -> Self {
+        Self { role: "user".to_string(), content: content.into() }
+    }
+
+    pub fn system(content: impl Into<String>) -> Self {
+        Self { role: "system".to_string(), content: content.into() }
+    }
+
+    pub fn assistant(content: impl Into<String>) -> Self {
+        Self { role: "assistant".to_string(), content: content.into() }
+    }
+}
+
+#[derive(Debug, Serialize)]
+struct ChatRequest<'a> {
+    model: &'a str,
+    messages: &'a [ChatMessage],
+    max_tokens: u32,
+    temperature: f32,
+    top_p: f32,
+}
+
+#[derive(Debug, Deserialize)]
+struct ChatResponse {
+    choices: Vec<Choice>,
+}
+
+#[derive(Debug, Deserialize)]
+struct Choice {
+    message: ResponseMessage,
+}
+
+#[derive(Debug, Deserialize)]
+struct ResponseMessage {
+    content: String,
+}
+
+pub struct LlmClient {
+    base_url: String,
+    api_key: String,
+    model: String,
+    http: reqwest::blocking::Client,
+}
+
+impl LlmClient {
+    pub fn new(
+        base_url: impl Into<String>,
+        api_key: impl Into<String>,
+        model: impl Into<String>,
+    ) -> Self {
+        Self {
+            base_url: base_url.into(),
+            api_key: api_key.into(),
+            model: model.into(),
+            http: reqwest::blocking::Client::new(),
+        }
+    }
+
+    pub fn from_env() -> Result<Self, ConfigError> {
+        let api_key = env::var(ENV_TOKEN).map_err(|_| ConfigError::MissingEnv(ENV_TOKEN))?;
+        let base_url = env::var(ENV_BASE_URL).unwrap_or_else(|_| DEFAULT_BASE_URL.to_string());
+        let model = env::var(ENV_MODEL).unwrap_or_else(|_| DEFAULT_MODEL.to_string());
+        Ok(Self::new(base_url, api_key, model))
+    }
+
+    pub fn model(&self) -> &str {
+        &self.model
+    }
+
+    pub fn complete(&self, messages: &[ChatMessage], max_tokens: u32) -> Result<String, LlmError> {
+        let url = format!("{}/chat/completions", self.base_url.trim_end_matches('/'));
+        let body = ChatRequest {
+            model: &self.model,
+            messages,
+            max_tokens,
+            temperature: 0.7,
+            top_p: 1.0,
+        };
+
+        let resp = self
+            .http
+            .post(&url)
+            .bearer_auth(&self.api_key)
+            .json(&body)
+            .send()?;
+
+        let status = resp.status();
+        let text = resp.text()?;
+
+        if !status.is_success() {
+            return Err(LlmError::Api { status: status.as_u16(), body: text });
+        }
+
+        let parsed: ChatResponse =
+            serde_json::from_str(&text).map_err(|e| LlmError::Deserialize(e.to_string()))?;
+        parsed
+            .choices
+            .into_iter()
+            .next()
+            .map(|c| c.message.content)
+            .ok_or(LlmError::EmptyResponse)
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn parses_valid_chat_response() {
+        let raw = r#"{
+            "id": "chatcmpl-xyz",
+            "object": "chat.completion",
+            "model": "llama-3.3-70b-versatile",
+            "choices": [
+                {
+                    "index": 0,
+                    "message": { "role": "assistant", "content": "Hello there!" },
+                    "finish_reason": "stop"
+                }
+            ],
+            "usage": { "prompt_tokens": 5, "completion_tokens": 3, "total_tokens": 8 }
+        }"#;
+
+        let parsed: ChatResponse = serde_json::from_str(raw).expect("valid JSON should parse");
+        assert_eq!(parsed.choices.len(), 1);
+        assert_eq!(parsed.choices[0].message.content, "Hello there!");
+    }
+
+    #[test]
+    fn from_env_fails_when_token_missing() {
+        let prev = env::var(ENV_TOKEN).ok();
+        unsafe { env::remove_var(ENV_TOKEN); }
+        let result = LlmClient::from_env();
+        let err = match result {
+            Ok(_) => panic!("expected ConfigError when {ENV_TOKEN} is unset"),
+            Err(e) => e,
+        };
+        match err {
+            ConfigError::MissingEnv(name) => assert_eq!(name, ENV_TOKEN),
+        }
+        if let Some(v) = prev {
+            unsafe { env::set_var(ENV_TOKEN, v); }
+        }
+    }
+
+    #[test]
+    fn chat_message_helpers_set_role() {
+        assert_eq!(ChatMessage::user("hi").role, "user");
+        assert_eq!(ChatMessage::system("ctx").role, "system");
+        assert_eq!(ChatMessage::assistant("ok").role, "assistant");
+    }
+}

crates/jarvis-core/src/llm/history.rs

@@ -0,0 +1,138 @@
+use super::client::ChatMessage;
+
+pub struct ConversationHistory {
+    system: Option<ChatMessage>,
+    turns: Vec<ChatMessage>,
+    max_turns: usize,
+}
+
+impl ConversationHistory {
+    pub fn new(system_prompt: impl Into<String>, max_turns: usize) -> Self {
+        Self {
+            system: Some(ChatMessage::system(system_prompt)),
+            turns: Vec::new(),
+            max_turns: max_turns.max(1),
+        }
+    }
+
+    pub fn without_system(max_turns: usize) -> Self {
+        Self {
+            system: None,
+            turns: Vec::new(),
+            max_turns: max_turns.max(1),
+        }
+    }
+
+    pub fn push_user(&mut self, content: impl Into<String>) {
+        self.turns.push(ChatMessage::user(content));
+        self.truncate();
+    }
+
+    pub fn push_assistant(&mut self, content: impl Into<String>) {
+        self.turns.push(ChatMessage::assistant(content));
+        self.truncate();
+    }
+
+    pub fn snapshot(&self) -> Vec<ChatMessage> {
+        let mut out = Vec::with_capacity(self.turns.len() + 1);
+        if let Some(s) = &self.system {
+            out.push(s.clone());
+        }
+        out.extend(self.turns.iter().cloned());
+        out
+    }
+
+    pub fn turns(&self) -> &[ChatMessage] {
+        &self.turns
+    }
+
+    pub fn clear(&mut self) {
+        self.turns.clear();
+    }
+
+    pub fn pop_last_user(&mut self) -> Option<ChatMessage> {
+        if matches!(self.turns.last(), Some(m) if m.role == "user") {
+            self.turns.pop()
+        } else {
+            None
+        }
+    }
+
+    fn truncate(&mut self) {
+        if self.turns.len() > self.max_turns {
+            let drop = self.turns.len() - self.max_turns;
+            self.turns.drain(0..drop);
+        }
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn evicts_oldest_turns_but_keeps_system_prompt() {
+        let mut h = ConversationHistory::new("you are jarvis", 4);
+        h.push_user("u1");
+        h.push_assistant("a1");
+        h.push_user("u2");
+        h.push_assistant("a2");
+        h.push_user("u3");
+
+        let snap = h.snapshot();
+        assert_eq!(snap[0].role, "system");
+        assert_eq!(snap[0].content, "you are jarvis");
+        assert_eq!(snap.len(), 1 + 4);
+
+        let contents: Vec<&str> = snap.iter().skip(1).map(|m| m.content.as_str()).collect();
+        assert_eq!(contents, vec!["a1", "u2", "a2", "u3"]);
+    }
+
+    #[test]
+    fn snapshot_with_no_system_returns_only_turns() {
+        let mut h = ConversationHistory::without_system(3);
+        h.push_user("hi");
+        h.push_assistant("hello");
+        let snap = h.snapshot();
+        assert_eq!(snap.len(), 2);
+        assert_eq!(snap[0].role, "user");
+        assert_eq!(snap[1].role, "assistant");
+    }
+
+    #[test]
+    fn cap_of_zero_is_clamped_to_one() {
+        let mut h = ConversationHistory::new("sys", 0);
+        h.push_user("a");
+        h.push_user("b");
+        let snap = h.snapshot();
+        assert_eq!(snap.len(), 2);
+        assert_eq!(snap[0].role, "system");
+        assert_eq!(snap[1].content, "b");
+    }
+
+    #[test]
+    fn pop_last_user_only_pops_a_trailing_user_turn() {
+        let mut h = ConversationHistory::new("sys", 4);
+        h.push_user("u1");
+        h.push_assistant("a1");
+        assert!(h.pop_last_user().is_none());
+        h.push_user("u2");
+        let popped = h.pop_last_user().expect("trailing user turn should pop");
+        assert_eq!(popped.role, "user");
+        assert_eq!(popped.content, "u2");
+        let snap = h.snapshot();
+        assert_eq!(snap.len(), 1 + 2);
+        assert_eq!(snap[2].content, "a1");
+    }
+
+    #[test]
+    fn clear_removes_turns_but_not_system() {
+        let mut h = ConversationHistory::new("sys", 4);
+        h.push_user("u");
+        h.push_assistant("a");
+        h.clear();
+        let snap = h.snapshot();
+        assert_eq!(snap.len(), 1);
+        assert_eq!(snap[0].role, "system");
+    }
+}

crates/jarvis-core/src/llm/mod.rs

@@ -0,0 +1,8 @@
+mod client;
+mod history;
+
+pub use client::{
+    ChatMessage, ConfigError, LlmClient, LlmError,
+    DEFAULT_BASE_URL, DEFAULT_MODEL, ENV_BASE_URL, ENV_MODEL, ENV_TOKEN,
+};
+pub use history::ConversationHistory;

crates/jarvis-core/src/lua.rs

@@ -0,0 +1,28 @@
+mod engine;
+mod sandbox;
+mod error;
+mod api;
+
+mod structs;
+pub use structs::*;
+
+pub use engine::LuaEngine;
+pub use sandbox::SandboxLevel;
+pub use error::LuaError;
+
+use std::path::PathBuf;
+use std::time::Duration;
+
+#[cfg(test)]
+mod tests;
+
+// Execute a Lua command script
+pub fn execute(
+    script_path: &PathBuf,
+    context: CommandContext,
+    sandbox: SandboxLevel,
+    timeout: Duration,
+) -> Result<CommandResult, LuaError> {
+    let engine = LuaEngine::new(sandbox)?;
+    engine.execute(script_path, context, timeout)
+}

crates/jarvis-core/src/lua/api.rs

@@ -0,0 +1,7 @@
+pub mod core;
+pub mod audio;
+pub mod context;
+pub mod http;
+pub mod fs;
+pub mod state;
+pub mod system;

crates/jarvis-core/src/lua/api/_new_api_module_example.rs

@@ -0,0 +1,37 @@
+// QUICK HELP ON HOW TO ADD NEW LUA API MODULE
+//
+// # 1. DEFINE NEW API MODULE FILE
+
+use mlua::{Lua, Table};
+use crate::lua::error::LuaError;
+
+pub fn register(lua: &Lua, jarvis: &Table) -> mlua::Result<()> {
+    let mymodule = lua.create_table()?;
+    
+    // add functions
+    let my_fn = lua.create_function(|_, arg: String| {
+        // implementation
+        Ok(format!("Result: {}", arg))
+    })?;
+    mymodule.set("my_function", my_fn)?;
+    
+    jarvis.set("mymodule", mymodule)?;
+    
+    Ok(())
+}
+
+// # 2. ADD NEW API MODULE TO mod.rs
+
+pub mod mymodule;
+
+
+// # 3. REGISTER NEW MODULE IN engine.rs
+// in register_api()
+api::mymodule::register(&self.lua, &jarvis)?;
+
+// # 4. YOU CAN ALSO DEFINE ASYNC FUNCTIONS INSTEAD
+let async_fn = lua.create_async_function(|_, url: String| async move {
+    let response = reqwest::get(&url).await
+        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+    Ok(response.text().await.unwrap_or_default())
+})?;

crates/jarvis-core/src/lua/api/audio.rs

@@ -0,0 +1,77 @@
+// Audio Lua API: something sound related, apparently :3
+
+use mlua::{Lua, Table};
+use crate::voices::{self, Reaction};
+
+pub fn register(lua: &Lua, jarvis: &Table) -> mlua::Result<()> {
+    let audio = lua.create_table()?;
+    
+    // jarvis.audio.play(reaction)
+    // reactions: "ok", "reply", "greet", "not_found", "error", "goodbye", "thanks"
+    let play_fn = lua.create_function(|_, reaction: String| {
+        let reaction_enum = match reaction.to_lowercase().as_str() {
+            "ok" => Reaction::Ok,
+            "reply" => Reaction::Reply,
+            "greet" => Reaction::Greet,
+            "not_found" => Reaction::NotFound,
+            "error" => Reaction::Error,
+            "goodbye" => Reaction::Goodbye,
+            "thanks" => Reaction::Thanks,
+            // "joke" => Reaction::Joke, NO PUN INTENDED :3
+            _ => {
+                log::warn!("[Lua] Unknown reaction: {}", reaction);
+                return Ok(false);
+            }
+        };
+         
+        voices::play(reaction_enum);
+        Ok(true)
+    })?;
+    audio.set("play", play_fn)?;
+    
+    // jarvis.audio.play_ok()
+    let play_ok_fn = lua.create_function(|_, ()| {
+        voices::play_ok();
+        Ok(())
+    })?;
+    audio.set("play_ok", play_ok_fn)?;
+    
+    // jarvis.audio.play_reply()
+    let play_reply_fn = lua.create_function(|_, ()| {
+        voices::play_reply();
+        Ok(())
+    })?;
+    audio.set("play_reply", play_reply_fn)?;
+    
+    // jarvis.audio.play_error()
+    let play_error_fn = lua.create_function(|_, ()| {
+        voices::play_error();
+        Ok(())
+    })?;
+    audio.set("play_error", play_error_fn)?;
+    
+    // jarvis.audio.play_not_found()
+    let play_not_found_fn = lua.create_function(|_, ()| {
+        voices::play_not_found();
+        Ok(())
+    })?;
+    audio.set("play_not_found", play_not_found_fn)?;
+    
+    // jarvis.audio.play_greet()
+    let play_greet_fn = lua.create_function(|_, ()| {
+        voices::play_greet();
+        Ok(())
+    })?;
+    audio.set("play_greet", play_greet_fn)?;
+    
+    // jarvis.audio.play_goodbye()
+    let play_goodbye_fn = lua.create_function(|_, ()| {
+        voices::play_goodbye();
+        Ok(())
+    })?;
+    audio.set("play_goodbye", play_goodbye_fn)?;
+    
+    jarvis.set("audio", audio)?;
+    
+    Ok(())
+}

crates/jarvis-core/src/lua/api/context.rs

@@ -0,0 +1,45 @@
+// Context Lua API: read-only command context
+
+use mlua::{Lua, Table};
+use crate::lua::{CommandContext};
+
+use crate::commands::SlotValue;
+
+pub fn register(lua: &Lua, jarvis: &Table, ctx: &CommandContext) -> mlua::Result<()> {
+    let context = lua.create_table()?;
+    
+    // read-only context values
+    context.set("phrase", ctx.phrase.clone())?;
+    context.set("command_id", ctx.command_id.clone())?;
+    context.set("command_path", ctx.command_path.to_string_lossy().to_string())?;
+    context.set("language", ctx.language.clone())?;
+    
+    // time info
+    let time = lua.create_table()?;
+    let now = chrono::Local::now();
+    time.set("year", now.format("%Y").to_string())?;
+    time.set("month", now.format("%m").to_string())?;
+    time.set("day", now.format("%d").to_string())?;
+    time.set("hour", now.format("%H").to_string())?;
+    time.set("minute", now.format("%M").to_string())?;
+    time.set("second", now.format("%S").to_string())?;
+    time.set("weekday", now.format("%A").to_string())?;
+    time.set("timestamp", now.timestamp())?;
+    context.set("time", time)?;
+    
+    // slots
+    let slots_table = lua.create_table()?;
+    if let Some(ref slots) = ctx.slots {
+        for (name, value) in slots {
+            match value {
+                SlotValue::Text(t) => slots_table.set(name.as_str(), t.as_str())?,
+                SlotValue::Number(n) => slots_table.set(name.as_str(), *n)?,
+            }
+        }
+    }
+    context.set("slots", slots_table)?;
+
+    jarvis.set("context", context)?;
+    
+    Ok(())
+}

crates/jarvis-core/src/lua/api/core.rs

@@ -0,0 +1,50 @@
+// Core Lua API: log, sleep, print, etc.
+
+use mlua::{Lua, Table, MultiValue};
+
+pub fn register(lua: &Lua, jarvis: &Table) -> mlua::Result<()> {
+
+    // @ jarvis.log(level, message)
+    // log something
+    let log_fn = lua.create_function(|_, (level, message): (String, String)| {
+        match level.to_lowercase().as_str() {
+            "debug" => log::debug!("[Lua] {}", message),
+            "info" => log::info!("[Lua] {}", message),
+            "warn" => log::warn!("[Lua] {}", message),
+            "error" => log::error!("[Lua] {}", message),
+            _ => log::info!("[Lua] {}", message),
+        }
+        Ok(())
+    })?;
+    jarvis.set("log", log_fn)?;
+    
+    // @ jarvis.print(...)
+    // simple print
+    let print_fn = lua.create_function(|_, args: MultiValue| {
+        let parts: Vec<String> = args.iter()
+            .map(|v| format!("{:?}", v))
+            .collect();
+        log::info!("[Lua] {}", parts.join(" "));
+        Ok(())
+    })?;
+    jarvis.set("print", print_fn)?;
+    
+    // @ jarvis.sleep(ms)
+    // ..zZZ
+    let sleep_fn = lua.create_function(|_, ms: u64| {
+        std::thread::sleep(std::time::Duration::from_millis(ms));
+        Ok(())
+    })?;
+    jarvis.set("sleep", sleep_fn)?;
+    
+    // @ jarvis.speak(text)
+    // @TODO: update when TTS will be implemented
+    let speak_fn = lua.create_function(|_, text: String| {
+        log::info!("[Lua] SPEAK: {}", text);
+        // pass
+        Ok(())
+    })?;
+    jarvis.set("speak", speak_fn)?;
+    
+    Ok(())
+}

crates/jarvis-core/src/lua/api/fs.rs

@@ -0,0 +1,212 @@
+// File System Lua API: read, write, list (sandboxed)
+
+use mlua::{Lua, Table};
+use std::path::{Path, PathBuf};
+use std::fs;
+
+use crate::lua::sandbox::SandboxLevel;
+
+pub fn register(
+    lua: &Lua,
+    jarvis: &Table,
+    command_path: &PathBuf,
+    sandbox: SandboxLevel,
+) -> mlua::Result<()> {
+    let fs_table = lua.create_table()?;
+    
+    let cmd_path = command_path.clone();
+    let sandbox_level = sandbox;
+    
+    // jarvis.fs.read(path)
+    let cmd_path_read = cmd_path.clone();
+    let read_fn = lua.create_function(move |_, path: String| {
+        let full_path = resolve_path(&cmd_path_read, &path, sandbox_level)?;
+        
+        fs::read_to_string(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("Read error: {}", e)))
+    })?;
+    fs_table.set("read", read_fn)?;
+    
+    // jarvis.fs.read_bytes(path)
+    let cmd_path_read_bytes = cmd_path.clone();
+    let read_bytes_fn = lua.create_function(move |lua, path: String| {
+        let full_path = resolve_path(&cmd_path_read_bytes, &path, sandbox_level)?;
+        
+        let bytes = fs::read(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("Read error: {}", e)))?;
+        
+        Ok(lua.create_string(&bytes)?)
+    })?;
+    fs_table.set("read_bytes", read_bytes_fn)?;
+    
+    // jarvis.fs.write(path, content)
+    let cmd_path_write = cmd_path.clone();
+    let write_fn = lua.create_function(move |_, (path, content): (String, String)| {
+        if !sandbox_level.allows_fs_write() {
+            return Err(mlua::Error::runtime("Write not allowed in this sandbox"));
+        }
+        
+        let full_path = resolve_path(&cmd_path_write, &path, sandbox_level)?;
+        
+        // ensure parent directory exists
+        if let Some(parent) = full_path.parent() {
+            fs::create_dir_all(parent)
+                .map_err(|e| mlua::Error::runtime(format!("Create dir error: {}", e)))?;
+        }
+        
+        fs::write(&full_path, content)
+            .map_err(|e| mlua::Error::runtime(format!("Write error: {}", e)))?;
+        
+        Ok(true)
+    })?;
+    fs_table.set("write", write_fn)?;
+    
+    // jarvis.fs.append(path, content)
+    let cmd_path_append = cmd_path.clone();
+    let append_fn = lua.create_function(move |_, (path, content): (String, String)| {
+        if !sandbox_level.allows_fs_write() {
+            return Err(mlua::Error::runtime("Write not allowed in this sandbox"));
+        }
+        
+        let full_path = resolve_path(&cmd_path_append, &path, sandbox_level)?;
+        
+        use std::io::Write;
+        let mut file = fs::OpenOptions::new()
+            .create(true)
+            .append(true)
+            .open(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("Open error: {}", e)))?;
+        
+        file.write_all(content.as_bytes())
+            .map_err(|e| mlua::Error::runtime(format!("Write error: {}", e)))?;
+        
+        Ok(true)
+    })?;
+    fs_table.set("append", append_fn)?;
+    
+    // jarvis.fs.exists(path)
+    let cmd_path_exists = cmd_path.clone();
+    let exists_fn = lua.create_function(move |_, path: String| {
+        let full_path = resolve_path(&cmd_path_exists, &path, sandbox_level)?;
+        Ok(full_path.exists())
+    })?;
+    fs_table.set("exists", exists_fn)?;
+    
+    // jarvis.fs.is_file(path)
+    let cmd_path_is_file = cmd_path.clone();
+    let is_file_fn = lua.create_function(move |_, path: String| {
+        let full_path = resolve_path(&cmd_path_is_file, &path, sandbox_level)?;
+        Ok(full_path.is_file())
+    })?;
+    fs_table.set("is_file", is_file_fn)?;
+    
+    // jarvis.fs.is_dir(path)
+    let cmd_path_is_dir = cmd_path.clone();
+    let is_dir_fn = lua.create_function(move |_, path: String| {
+        let full_path = resolve_path(&cmd_path_is_dir, &path, sandbox_level)?;
+        Ok(full_path.is_dir())
+    })?;
+    fs_table.set("is_dir", is_dir_fn)?;
+    
+    // jarvis.fs.list(path)
+    let cmd_path_list = cmd_path.clone();
+    let list_fn = lua.create_function(move |lua, path: Option<String>| {
+        let full_path = if let Some(p) = path {
+            resolve_path(&cmd_path_list, &p, sandbox_level)?
+        } else {
+            cmd_path_list.clone()
+        };
+        
+        let result = lua.create_table()?;
+        
+        let entries = fs::read_dir(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("List error: {}", e)))?;
+        
+        let mut idx = 1;
+        for entry in entries {
+            if let Ok(entry) = entry {
+                let item = lua.create_table()?;
+                item.set("name", entry.file_name().to_string_lossy().to_string())?;
+                item.set("path", entry.path().to_string_lossy().to_string())?;
+                item.set("is_file", entry.path().is_file())?;
+                item.set("is_dir", entry.path().is_dir())?;
+                
+                result.set(idx, item)?;
+                idx += 1;
+            }
+        }
+        
+        Ok(result)
+    })?;
+    fs_table.set("list", list_fn)?;
+    
+    // jarvis.fs.mkdir(path)
+    let cmd_path_mkdir = cmd_path.clone();
+    let mkdir_fn = lua.create_function(move |_, path: String| {
+        if !sandbox_level.allows_fs_write() {
+            return Err(mlua::Error::runtime("Write not allowed in this sandbox"));
+        }
+        
+        let full_path = resolve_path(&cmd_path_mkdir, &path, sandbox_level)?;
+        
+        fs::create_dir_all(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("Mkdir error: {}", e)))?;
+        
+        Ok(true)
+    })?;
+    fs_table.set("mkdir", mkdir_fn)?;
+    
+    // jarvis.fs.remove(path)
+    let cmd_path_remove = cmd_path.clone();
+    let remove_fn = lua.create_function(move |_, path: String| {
+        if !sandbox_level.allows_fs_write() {
+            return Err(mlua::Error::runtime("Write not allowed in this sandbox"));
+        }
+        
+        let full_path = resolve_path(&cmd_path_remove, &path, sandbox_level)?;
+        
+        if full_path.is_dir() {
+            fs::remove_dir_all(&full_path)
+                .map_err(|e| mlua::Error::runtime(format!("Remove error: {}", e)))?;
+        } else {
+            fs::remove_file(&full_path)
+                .map_err(|e| mlua::Error::runtime(format!("Remove error: {}", e)))?;
+        }
+        
+        Ok(true)
+    })?;
+    fs_table.set("remove", remove_fn)?;
+    
+    jarvis.set("fs", fs_table)?;
+    
+    Ok(())
+}
+
+// Resolve path relative to command folder, with sandbox checks
+fn resolve_path(command_path: &PathBuf, path: &str, sandbox: SandboxLevel) -> mlua::Result<PathBuf> {
+    let path = Path::new(path);
+    
+    // if absolute path, check sandbox allows it
+    if path.is_absolute() {
+        if !sandbox.allows_expanded_paths() {
+            return Err(mlua::Error::runtime("Absolute paths not allowed in this sandbox"));
+        }
+        return Ok(path.to_path_buf());
+    }
+    
+    // relative path - resolve against command folder
+    let resolved = command_path.join(path);
+    
+    // canonicalize to resolve ../ etc and check it's still within command folder
+    let canonical = resolved.canonicalize()
+        .unwrap_or_else(|_| resolved.clone());
+    
+    let cmd_canonical = command_path.canonicalize()
+        .unwrap_or_else(|_| command_path.clone());
+    
+    if !sandbox.allows_expanded_paths() && !canonical.starts_with(&cmd_canonical) {
+        return Err(mlua::Error::runtime("Path escapes command folder"));
+    }
+    
+    Ok(resolved)
+}

crates/jarvis-core/src/lua/api/http.rs

@@ -0,0 +1,226 @@
+// HTTP Lua API: GET, POST, JSON requests
+
+use mlua::{Lua, Table, Value};
+use std::collections::HashMap;
+use std::time::Duration;
+
+pub fn register(lua: &Lua, jarvis: &Table) -> mlua::Result<()> {
+    let http = lua.create_table()?;
+    
+    // jarvis.http.get(url, headers?)
+    let get_fn = lua.create_function(|lua, (url, headers): (String, Option<Table>)| {
+        http_request(lua, "GET", &url, None, headers)
+    })?;
+    http.set("get", get_fn)?;
+    
+    // jarvis.http.post(url, body, headers?)
+    let post_fn = lua.create_function(|lua, (url, body, headers): (String, Option<String>, Option<Table>)| {
+        http_request(lua, "POST", &url, body, headers)
+    })?;
+    http.set("post", post_fn)?;
+    
+    // jarvis.http.post_json(url, data, headers?)
+    let post_json_fn = lua.create_function(|lua, (url, data, headers): (String, Table, Option<Table>)| {
+        // convert Lua table to JSON string
+        let json_value = table_to_json(lua, data)?;
+        let body = serde_json::to_string(&json_value)
+            .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+        
+        // add content-type header
+        let mut header_map: HashMap<String, String> = HashMap::new();
+        header_map.insert("Content-Type".to_string(), "application/json".to_string());
+        
+        if let Some(h) = headers {
+            for pair in h.pairs::<String, String>() {
+                if let Ok((k, v)) = pair {
+                    header_map.insert(k, v);
+                }
+            }
+        }
+        
+        http_request_with_headers(lua, "POST", &url, Some(body), header_map)
+    })?;
+    http.set("post_json", post_json_fn)?;
+    
+    // jarvis.http.json(url) - GET + parse JSON
+    let json_fn = lua.create_function(|lua, url: String| {
+        let client = reqwest::blocking::Client::builder()
+            .timeout(Duration::from_secs(30))
+            .build()
+            .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+        
+        let response = client.get(&url)
+            .send()
+            .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+        
+        if response.status().is_success() {
+            let json: serde_json::Value = response.json()
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            json_to_lua(lua, json)
+        } else {
+            Ok(Value::Nil)
+        }
+    })?;
+    http.set("json", json_fn)?;
+    
+    jarvis.set("http", http)?;
+    
+    Ok(())
+}
+
+fn http_request(
+    lua: &Lua,
+    method: &str,
+    url: &str,
+    body: Option<String>,
+    headers: Option<Table>,
+) -> mlua::Result<Table> {
+    let header_map: HashMap<String, String> = if let Some(h) = headers {
+        h.pairs::<String, String>()
+            .filter_map(|r| r.ok())
+            .collect()
+    } else {
+        HashMap::new()
+    };
+    
+    http_request_with_headers(lua, method, url, body, header_map)
+}
+
+fn http_request_with_headers(
+    lua: &Lua,
+    method: &str,
+    url: &str,
+    body: Option<String>,
+    headers: HashMap<String, String>,
+) -> mlua::Result<Table> {
+    let client = reqwest::blocking::Client::builder()
+        .timeout(Duration::from_secs(30))
+        .build()
+        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+    
+    let mut request = match method {
+        "POST" => client.post(url),
+        "PUT" => client.put(url),
+        "DELETE" => client.delete(url),
+        _ => client.get(url),
+    };
+    
+    for (k, v) in headers {
+        request = request.header(&k, &v);
+    }
+    
+    if let Some(b) = body {
+        request = request.body(b);
+    }
+    
+    let result = lua.create_table()?;
+    
+    match request.send() {
+        Ok(response) => {
+            result.set("ok", response.status().is_success())?;
+            result.set("status", response.status().as_u16())?;
+            
+            // get headers
+            let headers_table = lua.create_table()?;
+            for (name, value) in response.headers() {
+                if let Ok(v) = value.to_str() {
+                    headers_table.set(name.as_str(), v)?;
+                }
+            }
+            result.set("headers", headers_table)?;
+            
+            // get body
+            match response.text() {
+                Ok(text) => result.set("body", text)?,
+                Err(e) => result.set("body", format!("Error reading body: {}", e))?,
+            }
+        }
+        Err(e) => {
+            result.set("ok", false)?;
+            result.set("status", 0)?;
+            result.set("error", e.to_string())?;
+            result.set("body", "")?;
+        }
+    }
+    
+    Ok(result)
+}
+
+// Convert Lua table to serde_json::Value
+fn table_to_json(lua: &Lua, table: Table) -> mlua::Result<serde_json::Value> {
+    use serde_json::{Value as JsonValue, Map};
+    
+    // check if it's an array (sequential integer keys starting from 1)
+    let is_array = table.clone().pairs::<i64, Value>()
+        .filter_map(|r| r.ok())
+        .enumerate()
+        .all(|(i, (k, _))| k == (i + 1) as i64);
+    
+    if is_array && table.len()? > 0 {
+        let arr: Vec<JsonValue> = table.sequence_values::<Value>()
+            .filter_map(|r| r.ok())
+            .map(|v| lua_to_json(lua, v))
+            .collect::<Result<Vec<_>, _>>()?;
+        Ok(JsonValue::Array(arr))
+    } else {
+        let mut map = Map::new();
+        for pair in table.pairs::<String, Value>() {
+            let (k, v) = pair?;
+            map.insert(k, lua_to_json(lua, v)?);
+        }
+        Ok(JsonValue::Object(map))
+    }
+}
+
+// Convert Lua Value to serde_json::Value
+fn lua_to_json(lua: &Lua, value: Value) -> mlua::Result<serde_json::Value> {
+    use serde_json::{Value as JsonValue, Number};
+    
+    match value {
+        Value::Nil => Ok(JsonValue::Null),
+        Value::Boolean(b) => Ok(JsonValue::Bool(b)),
+        Value::Integer(i) => Ok(JsonValue::Number(Number::from(i))),
+        Value::Number(n) => {
+            Number::from_f64(n)
+                .map(JsonValue::Number)
+                .ok_or_else(|| mlua::Error::runtime("Invalid float"))
+        }
+        Value::String(s) => Ok(JsonValue::String(s.to_str()?.to_string())),
+        Value::Table(t) => table_to_json(lua, t),
+        _ => Err(mlua::Error::runtime("Unsupported type for JSON")),
+    }
+}
+
+// Convert serde_json::Value to Lua Value
+fn json_to_lua(lua: &Lua, json: serde_json::Value) -> mlua::Result<Value> {
+    use serde_json::Value as JsonValue;
+    
+    match json {
+        JsonValue::Null => Ok(Value::Nil),
+        JsonValue::Bool(b) => Ok(Value::Boolean(b)),
+        JsonValue::Number(n) => {
+            if let Some(i) = n.as_i64() {
+                Ok(Value::Integer(i))
+            } else if let Some(f) = n.as_f64() {
+                Ok(Value::Number(f))
+            } else {
+                Ok(Value::Nil)
+            }
+        }
+        JsonValue::String(s) => Ok(Value::String(lua.create_string(&s)?)),
+        JsonValue::Array(arr) => {
+            let table = lua.create_table()?;
+            for (i, v) in arr.into_iter().enumerate() {
+                table.set(i + 1, json_to_lua(lua, v)?)?;
+            }
+            Ok(Value::Table(table))
+        }
+        JsonValue::Object(map) => {
+            let table = lua.create_table()?;
+            for (k, v) in map {
+                table.set(k, json_to_lua(lua, v)?)?;
+            }
+            Ok(Value::Table(table))
+        }
+    }
+}

crates/jarvis-core/src/lua/api/state.rs

@@ -0,0 +1,184 @@
+// State Lua API: persistent key-value storage per command
+
+use mlua::{Lua, Table, Result, Value};
+use std::path::PathBuf;
+use std::fs;
+use std::collections::HashMap;
+
+const STATE_FILE: &str = ".state.json";
+
+pub fn register(lua: &Lua, jarvis: &Table, command_path: &PathBuf) -> mlua::Result<()> {
+    let state = lua.create_table()?;
+    let state_path = command_path.join(STATE_FILE);
+    
+    // jarvis.state.get(key)
+    let state_path_get = state_path.clone();
+    let get_fn = lua.create_function(move |lua, key: String| {
+        let data = load_state(&state_path_get);
+        
+        if let Some(value) = data.get(&key) {
+            json_to_lua_value(lua, value.clone())
+        } else {
+            Ok(Value::Nil)
+        }
+    })?;
+    state.set("get", get_fn)?;
+    
+    // jarvis.state.set(key, value)
+    let state_path_set = state_path.clone();
+    let set_fn = lua.create_function(move |_, (key, value): (String, Value)| {
+        let mut data = load_state(&state_path_set);
+        
+        let json_value = lua_to_json_value(value)?;
+        data.insert(key, json_value);
+        
+        save_state(&state_path_set, &data)?;
+        Ok(true)
+    })?;
+    state.set("set", set_fn)?;
+    
+    // jarvis.state.delete(key)
+    let state_path_delete = state_path.clone();
+    let delete_fn = lua.create_function(move |_, key: String| {
+        let mut data = load_state(&state_path_delete);
+        let existed = data.remove(&key).is_some();
+        save_state(&state_path_delete, &data)?;
+        Ok(existed)
+    })?;
+    state.set("delete", delete_fn)?;
+    
+    // jarvis.state.clear()
+    let state_path_clear = state_path.clone();
+    let clear_fn = lua.create_function(move |_, ()| {
+        let data: HashMap<String, serde_json::Value> = HashMap::new();
+        save_state(&state_path_clear, &data)?;
+        Ok(true)
+    })?;
+    state.set("clear", clear_fn)?;
+    
+    // jarvis.state.keys()
+    let state_path_keys = state_path.clone();
+    let keys_fn = lua.create_function(move |lua, ()| {
+        let data = load_state(&state_path_keys);
+        let table = lua.create_table()?;
+        
+        for (i, key) in data.keys().enumerate() {
+            table.set(i + 1, key.clone())?;
+        }
+        
+        Ok(table)
+    })?;
+    state.set("keys", keys_fn)?;
+    
+    // jarvis.state.all()
+    let state_path_all = state_path.clone();
+    let all_fn = lua.create_function(move |lua, ()| {
+        let data = load_state(&state_path_all);
+        let table = lua.create_table()?;
+        
+        for (key, value) in data {
+            let lua_value = json_to_lua_value(lua, value)?;
+            table.set(key, lua_value)?;
+        }
+        
+        Ok(table)
+    })?;
+    state.set("all", all_fn)?;
+    
+    jarvis.set("state", state)?;
+    
+    Ok(())
+}
+
+fn load_state(path: &PathBuf) -> HashMap<String, serde_json::Value> {
+    if !path.exists() {
+        return HashMap::new();
+    }
+    
+    fs::read_to_string(path)
+        .ok()
+        .and_then(|s| serde_json::from_str(&s).ok())
+        .unwrap_or_default()
+}
+
+fn save_state(path: &PathBuf, data: &HashMap<String, serde_json::Value>) -> mlua::Result<()> {
+    let json = serde_json::to_string_pretty(data)
+        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+    
+    fs::write(path, json)
+        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+    
+    Ok(())
+}
+
+fn lua_to_json_value(value: Value) -> mlua::Result<serde_json::Value> {
+    use serde_json::Value as JsonValue;
+    
+    match value {
+        Value::Nil => Ok(JsonValue::Null),
+        Value::Boolean(b) => Ok(JsonValue::Bool(b)),
+        Value::Integer(i) => Ok(JsonValue::Number(i.into())),
+        Value::Number(n) => {
+            serde_json::Number::from_f64(n)
+                .map(JsonValue::Number)
+                .ok_or_else(|| mlua::Error::runtime("Invalid float"))
+        }
+        Value::String(s) => Ok(JsonValue::String(s.to_str()?.to_string())),
+        Value::Table(t) => {
+            // check if array
+            let is_array = t.clone().pairs::<i64, Value>()
+                .filter_map(|r| r.ok())
+                .enumerate()
+                .all(|(i, (k, _))| k == (i + 1) as i64);
+            
+            if is_array && t.len().unwrap_or(0) > 0 {
+                let arr: Vec<JsonValue> = t.sequence_values::<Value>()
+                    .filter_map(|r| r.ok())
+                    .map(lua_to_json_value)
+                    .collect::<Result<Vec<_>>>()?;
+                Ok(JsonValue::Array(arr))
+            } else {
+                let mut map = serde_json::Map::new();
+                for pair in t.pairs::<String, Value>() {
+                    let (k, v) = pair?;
+                    map.insert(k, lua_to_json_value(v)?);
+                }
+                Ok(JsonValue::Object(map))
+            }
+        }
+        _ => Err(mlua::Error::runtime("Unsupported type for state")),
+    }
+}
+
+fn json_to_lua_value(lua: &Lua, json: serde_json::Value) -> mlua::Result<Value> {
+    use serde_json::Value as JsonValue;
+    
+    match json {
+        JsonValue::Null => Ok(Value::Nil),
+        JsonValue::Bool(b) => Ok(Value::Boolean(b)),
+        JsonValue::Number(n) => {
+            if let Some(i) = n.as_i64() {
+                Ok(Value::Integer(i))
+            } else if let Some(f) = n.as_f64() {
+                Ok(Value::Number(f))
+            } else {
+                Ok(Value::Nil)
+            }
+        }
+        JsonValue::String(s) => Ok(Value::String(lua.create_string(&s)?)),
+        JsonValue::Array(arr) => {
+            let table = lua.create_table()?;
+            for (i, v) in arr.into_iter().enumerate() {
+                table.set(i + 1, json_to_lua_value(lua, v)?)?;
+            }
+            Ok(Value::Table(table))
+        }
+        JsonValue::Object(map) => {
+            let table = lua.create_table()?;
+            for (k, v) in map {
+                table.set(k, json_to_lua_value(lua, v)?)?;
+            }
+            Ok(Value::Table(table))
+        }
+    }
+}

crates/jarvis-core/src/lua/api/system.rs

@@ -0,0 +1,240 @@
+// System Lua API: exec, open, clipboard, notify
+
+use mlua::{Lua, Table};
+use std::process::Command;
+
+use crate::lua::sandbox::SandboxLevel;
+
+pub fn register(lua: &Lua, jarvis: &Table, sandbox: SandboxLevel) -> mlua::Result<()> {
+    let system = lua.create_table()?;
+    
+    // jarvis.system.open(url_or_path) - always available
+    let open_fn = lua.create_function(|_, target: String| {
+        let result = if cfg!(target_os = "windows") {
+            Command::new("cmd")
+                .args(["/C", "start", "", &target])
+                .spawn()
+        } else if cfg!(target_os = "macos") {
+            Command::new("open")
+                .arg(&target)
+                .spawn()
+        } else {
+            Command::new("xdg-open")
+                .arg(&target)
+                .spawn()
+        };
+        
+        match result {
+            Ok(_) => Ok(true),
+            Err(e) => {
+                log::warn!("[Lua] Failed to open {}: {}", target, e);
+                Ok(false)
+            }
+        }
+    })?;
+    system.set("open", open_fn)?;
+    
+    // jarvis.system.exec(cmd, args?) - only in full sandbox
+    if sandbox.allows_exec() {
+        let exec_fn = lua.create_function(|lua, (cmd, args): (String, Option<Table>)| {
+            let mut command = if cfg!(target_os = "windows") {
+                let mut c = Command::new("cmd");
+                c.args(["/C", &cmd]);
+                c
+            } else {
+                let mut c = Command::new("sh");
+                c.args(["-c", &cmd]);
+                c
+            };
+            
+            // add extra args if provided
+            if let Some(args_table) = args {
+                for pair in args_table.sequence_values::<String>() {
+                    if let Ok(arg) = pair {
+                        command.arg(arg);
+                    }
+                }
+            }
+            
+            let output = command.output()
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            
+            let result = lua.create_table()?;
+            result.set("success", output.status.success())?;
+            result.set("code", output.status.code().unwrap_or(-1))?;
+            result.set("stdout", String::from_utf8_lossy(&output.stdout).to_string())?;
+            result.set("stderr", String::from_utf8_lossy(&output.stderr).to_string())?;
+            
+            Ok(result)
+        })?;
+        system.set("exec", exec_fn)?;
+    }
+    
+    // jarvis.system.notify(title, message) - always available
+    let notify_fn = lua.create_function(|_, (title, message): (String, String)| {
+        log::info!("[Lua] NOTIFY: {} - {}", title, message);
+        
+        // platform-specific notification
+        #[cfg(target_os = "windows")]
+        {
+            use winrt_notification::{Toast, Duration as ToastDuration};
+            
+            if let Err(e) = Toast::new(Toast::POWERSHELL_APP_ID)
+                .title(&title)
+                .text1(&message)
+                .duration(ToastDuration::Short)
+                .show()
+            {
+                log::warn!("[Lua] Failed to show toast notification: {}", e);
+                // fallback to msg.exe
+                let _ = Command::new("msg")
+                    .args(["*", "/time:10", &format!("{}: {}", title, message)])
+                    .spawn();
+            }
+        }
+        
+        #[cfg(target_os = "linux")]
+        {
+            let _ = Command::new("notify-send")
+                .args([&title, &message])
+                .spawn();
+        }
+        
+        #[cfg(target_os = "macos")]
+        {
+            let script = format!(
+                r#"display notification "{}" with title "{}""#,
+                message.replace("\"", "\\\""),
+                title.replace("\"", "\\\"")
+            );
+            let _ = Command::new("osascript")
+                .args(["-e", &script])
+                .spawn();
+        }
+        
+        Ok(true)
+    })?;
+    system.set("notify", notify_fn)?;
+    
+    // jarvis.system.clipboard - subtable
+    let clipboard = lua.create_table()?;
+    
+    // jarvis.system.clipboard.get() - always available
+    let clipboard_get_fn = lua.create_function(|_, ()| {
+        #[cfg(target_os = "windows")]
+        {
+            let output = Command::new("powershell")
+                .args(["-Command", "Get-Clipboard"])
+                .output()
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            
+            Ok(String::from_utf8_lossy(&output.stdout).trim().to_string())
+        }
+        
+        #[cfg(target_os = "linux")]
+        {
+            let output = Command::new("xclip")
+                .args(["-selection", "clipboard", "-o"])
+                .output()
+                .or_else(|_| {
+                    Command::new("xsel")
+                        .args(["--clipboard", "--output"])
+                        .output()
+                })
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            
+            Ok(String::from_utf8_lossy(&output.stdout).to_string())
+        }
+        
+        #[cfg(target_os = "macos")]
+        {
+            let output = Command::new("pbpaste")
+                .output()
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            
+            Ok(String::from_utf8_lossy(&output.stdout).to_string())
+        }
+        
+        #[cfg(not(any(target_os = "windows", target_os = "linux", target_os = "macos")))]
+        {
+            Err(mlua::Error::runtime("Clipboard not supported on this platform"))
+        }
+    })?;
+    clipboard.set("get", clipboard_get_fn)?;
+    
+    // jarvis.system.clipboard.set(text) - only in full sandbox
+    if sandbox.allows_clipboard_write() {
+        let clipboard_set_fn = lua.create_function(|_, text: String| {
+            #[cfg(target_os = "windows")]
+            {
+                let script = format!("Set-Clipboard -Value '{}'", text.replace("'", "''"));
+                Command::new("powershell")
+                    .args(["-Command", &script])
+                    .output()
+                    .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            }
+            
+            #[cfg(target_os = "linux")]
+            {
+                use std::io::Write;
+                let mut child = Command::new("xclip")
+                    .args(["-selection", "clipboard"])
+                    .stdin(std::process::Stdio::piped())
+                    .spawn()
+                    .or_else(|_| {
+                        Command::new("xsel")
+                            .args(["--clipboard", "--input"])
+                            .stdin(std::process::Stdio::piped())
+                            .spawn()
+                    })
+                    .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+                
+                if let Some(stdin) = child.stdin.as_mut() {
+                    stdin.write_all(text.as_bytes())
+                        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+                }
+            }
+            
+            #[cfg(target_os = "macos")]
+            {
+                use std::io::Write;
+                let mut child = Command::new("pbcopy")
+                    .stdin(std::process::Stdio::piped())
+                    .spawn()
+                    .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+                
+                if let Some(stdin) = child.stdin.as_mut() {
+                    stdin.write_all(text.as_bytes())
+                        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+                }
+            }
+            
+            Ok(true)
+        })?;
+        clipboard.set("set", clipboard_set_fn)?;
+    }
+    
+    system.set("clipboard", clipboard)?;
+    
+    // jarvis.system.env(name) - get environment variable (always available)
+    let env_fn = lua.create_function(|_, name: String| {
+        Ok(std::env::var(&name).ok())
+    })?;
+    system.set("env", env_fn)?;
+    
+    // jarvis.system.platform - read-only string
+    let platform = if cfg!(target_os = "windows") {
+        "windows"
+    } else if cfg!(target_os = "macos") {
+        "macos"
+    } else if cfg!(target_os = "linux") {
+        "linux"
+    } else {
+        "unknown"
+    };
+    system.set("platform", platform)?;
+    
+    jarvis.set("system", system)?;
+    
+    Ok(())
+}

crates/jarvis-core/src/lua/engine.rs

@@ -0,0 +1,169 @@
+use mlua::{Lua, Value, StdLib};
+use std::path::PathBuf;
+use std::time::Duration;
+use std::fs;
+
+use super::sandbox::SandboxLevel;
+use super::error::LuaError;
+use super::{CommandContext, CommandResult};
+use super::api;
+
+pub struct LuaEngine {
+    lua: Lua,
+    sandbox: SandboxLevel,
+}
+
+
+
+impl LuaEngine {
+    pub fn new(sandbox: SandboxLevel) -> Result<Self, LuaError> {
+        // select which standard libraries to load based on sandbox access level
+        let std_libs = match sandbox {
+            SandboxLevel::Minimal => {
+                StdLib::TABLE | StdLib::STRING | StdLib::MATH
+            }
+            SandboxLevel::Standard => {
+                StdLib::TABLE | StdLib::STRING | StdLib::MATH | StdLib::UTF8
+            }
+            SandboxLevel::Full => {
+                StdLib::TABLE | StdLib::STRING | StdLib::MATH | StdLib::UTF8 | StdLib::OS
+            }
+        };
+        
+        let lua = Lua::new_with(std_libs, mlua::LuaOptions::default())
+            .map_err(|e| LuaError::InitError(e.to_string()))?;
+        
+        // remove dangerous globals regardless of sandbox
+        {
+            let globals = lua.globals();
+            
+            // always remove these
+            let _ = globals.set("loadfile", Value::Nil);
+            let _ = globals.set("dofile", Value::Nil);
+            let _ = globals.set("load", Value::Nil);
+            let _ = globals.set("loadstring", Value::Nil);
+            
+            // remove io unless full sandbox
+            if !matches!(sandbox, SandboxLevel::Full) {
+                let _ = globals.set("io", Value::Nil);
+            }
+            
+            // remove os.execute, os.exit, os.setlocale even in full mode
+            // for SECURITY REASONS!!!
+            if matches!(sandbox, SandboxLevel::Full) {
+                if let Ok(os) = globals.get::<mlua::Table>("os") {
+                    let _ = os.set("execute", Value::Nil);
+                    let _ = os.set("exit", Value::Nil);
+                    let _ = os.set("remove", Value::Nil);
+                    let _ = os.set("rename", Value::Nil);
+                    let _ = os.set("setlocale", Value::Nil);
+                }
+            }
+        }
+        
+        Ok(Self { lua, sandbox })
+    }
+    
+    // Register all jarvis APIs
+    fn register_api(&self, context: &CommandContext) -> Result<(), LuaError> {
+        let globals = self.lua.globals();
+        
+        // main jarvis table
+        let jarvis = self.lua.create_table()
+            .map_err(|e| LuaError::InitError(e.to_string()))?;
+        
+        // always register core APIs
+        api::core::register(&self.lua, &jarvis)?;
+        api::audio::register(&self.lua, &jarvis)?;
+        api::context::register(&self.lua, &jarvis, context)?;
+        
+        // sandbox-controlled APIs
+        if self.sandbox.allows_http() {
+            api::http::register(&self.lua, &jarvis)?;
+        }
+        
+        if self.sandbox.allows_state() {
+            api::state::register(&self.lua, &jarvis, &context.command_path)?;
+        }
+        
+        if self.sandbox.allows_fs() {
+            api::fs::register(&self.lua, &jarvis, &context.command_path, self.sandbox)?;
+        }
+        
+        api::system::register(&self.lua, &jarvis, self.sandbox)?;
+        
+        globals.set("jarvis", jarvis)
+            .map_err(|e| LuaError::InitError(e.to_string()))?;
+        
+        Ok(())
+    }
+    
+    // Main LUA executor
+    pub fn execute(
+        &self,
+        script_path: &PathBuf,
+        context: CommandContext,
+        timeout: Duration,
+    ) -> Result<CommandResult, LuaError> {
+        // register APIs
+        self.register_api(&context)?;
+        
+        // load script
+        let script_content = fs::read_to_string(script_path)
+            .map_err(|e| LuaError::LoadError(format!("{}: {}", script_path.display(), e)))?;
+        
+        let script_name = script_path.file_name()
+            .unwrap()
+            .to_string_lossy()
+            .to_string();
+
+
+        // set up timeout hook
+        let start = std::time::Instant::now();
+        self.lua.set_hook(mlua::HookTriggers {
+            every_nth_instruction: Some(1000),
+            ..Default::default()
+        }, move |_lua, _debug| {
+            if start.elapsed() > timeout {
+                Err(mlua::Error::runtime("Script timeout"))
+            } else {
+                Ok(mlua::VmState::Continue)
+            }
+        }).map_err(|e| LuaError::InitError(e.to_string()))?;
+
+        // execute script
+        let result = self.lua.load(&script_content)
+            .set_name(&script_name)
+            .eval::<Value>();
+        
+        // remove hook
+        let _ = self.lua.remove_hook();
+
+        // result
+        match result {
+            Ok(value) => Ok(self.parse_result(value)),
+            Err(e) => {
+                if e.to_string().contains("timeout") {
+                    Err(LuaError::Timeout)
+                } else {
+                    Err(LuaError::RuntimeError(e.to_string()))
+                }
+            }
+        }
+    }
+    
+    // Parse Lua return value into CommandResult
+    fn parse_result(&self, value: Value) -> CommandResult {
+        match value {
+            // return { chain = false }
+            Value::Table(t) => {
+                let chain = t.get::<bool>("chain").unwrap_or(true);
+                CommandResult { chain }
+            }
+            // return false (shorthand for no chain)
+            Value::Boolean(chain) => CommandResult { chain },
+            // return nil or no return = chain
+            _ => CommandResult::default(),
+        }
+    }
+}

crates/jarvis-core/src/lua/error.rs

@@ -0,0 +1,49 @@
+use std::fmt;
+
+#[derive(Debug)]
+pub enum LuaError {
+    // Failed to create Lua VM
+    InitError(String),
+
+    // Failed to load script file
+    LoadError(String),
+
+    // Script execution error
+    RuntimeError(String),
+
+    // Script exceeded timeout
+    Timeout,
+
+    // Sandbox violation
+    SandboxViolation(String),
+    
+    // IO error
+    IoError(std::io::Error),
+}
+
+impl fmt::Display for LuaError {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        match self {
+            LuaError::InitError(msg) => write!(f, "Lua init error: {}", msg),
+            LuaError::LoadError(msg) => write!(f, "Script load error: {}", msg),
+            LuaError::RuntimeError(msg) => write!(f, "Runtime error: {}", msg),
+            LuaError::Timeout => write!(f, "Script timeout"),
+            LuaError::SandboxViolation(msg) => write!(f, "Sandbox violation: {}", msg),
+            LuaError::IoError(e) => write!(f, "IO error: {}", e),
+        }
+    }
+}
+
+impl std::error::Error for LuaError {}
+
+impl From<mlua::Error> for LuaError {
+    fn from(e: mlua::Error) -> Self {
+        LuaError::RuntimeError(e.to_string())
+    }
+}
+
+impl From<std::io::Error> for LuaError {
+    fn from(e: std::io::Error) -> Self {
+        LuaError::IoError(e)
+    }
+}

crates/jarvis-core/src/lua/sandbox.rs

@@ -0,0 +1,65 @@
+use serde::{Deserialize, Serialize};
+
+// Sandbox level controlling what APIs are available
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
+pub enum SandboxLevel {
+    // Minimal: only core APIs (log, speak, audio, context)
+    Minimal,
+
+    // Standard: + http, state, fs (command folder only)
+    Standard,
+
+    // Full: + system.exec, expanded fs access
+    Full,
+}
+
+impl SandboxLevel {
+    pub fn from_str(s: &str) -> Self {
+        match s.to_lowercase().as_str() {
+            "minimal" => SandboxLevel::Minimal,
+            "full" => SandboxLevel::Full,
+            _ => SandboxLevel::Standard,
+        }
+    }
+    
+    // Can use HTTP API
+    pub fn allows_http(&self) -> bool {
+        matches!(self, SandboxLevel::Standard | SandboxLevel::Full)
+    }
+    
+    // Can use persistent state API
+    pub fn allows_state(&self) -> bool {
+        matches!(self, SandboxLevel::Standard | SandboxLevel::Full)
+    }
+    
+    // Can use file system API
+    pub fn allows_fs(&self) -> bool {
+        matches!(self, SandboxLevel::Standard | SandboxLevel::Full)
+    }
+    
+    // Can write files
+    pub fn allows_fs_write(&self) -> bool {
+        matches!(self, SandboxLevel::Standard | SandboxLevel::Full)
+    }
+    
+    // Can execute system commands
+    pub fn allows_exec(&self) -> bool {
+        matches!(self, SandboxLevel::Full)
+    }
+    
+    // Can access clipboard write
+    pub fn allows_clipboard_write(&self) -> bool {
+        matches!(self, SandboxLevel::Full)
+    }
+    
+    // Can access paths outside command folder
+    pub fn allows_expanded_paths(&self) -> bool {
+        matches!(self, SandboxLevel::Full)
+    }
+}
+
+impl Default for SandboxLevel {
+    fn default() -> Self {
+        SandboxLevel::Standard
+    }
+}

crates/jarvis-core/src/lua/structs.rs

@@ -0,0 +1,35 @@
+use std::{collections::HashMap, path::PathBuf};
+
+use crate::commands::SlotValue;
+
+// Context passed to Lua scripts
+#[derive(Debug, Clone)]
+pub struct CommandContext {
+    // The phrase that triggered the command
+    pub phrase: String,
+    
+    // Command ID
+    pub command_id: String,
+
+    // Path to command folder
+    pub command_path: PathBuf,
+
+    // Current language
+    pub language: String,
+
+    // Slots
+    pub slots: Option<HashMap<String, SlotValue>>
+}
+
+// Result returned from Lua script execution
+#[derive(Debug, Clone)]
+pub struct CommandResult {
+    // Whether to continue chaining commands
+    pub chain: bool,
+}
+
+impl Default for CommandResult {
+    fn default() -> Self {
+        Self { chain: true }
+    }
+}

crates/jarvis-core/src/lua/tests.rs

@@ -0,0 +1,112 @@
+#[cfg(test)]
+mod tests {
+    use crate::lua::{CommandContext, LuaError, SandboxLevel, execute};
+
+    use std::path::PathBuf;
+    use std::time::Duration;
+    use tempfile::tempdir;
+    use std::fs;
+    
+    fn create_test_context(cmd_path: PathBuf) -> CommandContext {
+        CommandContext {
+            phrase: "test phrase".to_string(),
+            command_id: "test_cmd".to_string(),
+            command_path: cmd_path,
+            language: "en".to_string(),
+            slots: None,
+        }
+    }
+    
+    #[test]
+    fn test_minimal_sandbox() {
+        let dir = tempdir().unwrap();
+        let script_path = dir.path().join("test.lua");
+        
+        fs::write(&script_path, r#"
+            jarvis.log("info", "test log")
+            return { chain = false }
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        let result = execute(
+            &script_path,
+            context,
+            SandboxLevel::Minimal,
+            Duration::from_secs(5),
+        );
+        
+        assert!(result.is_ok());
+        assert_eq!(result.unwrap().chain, false);
+    }
+    
+    #[test]
+    fn test_state_persistence() {
+        let dir = tempdir().unwrap();
+        let script_path = dir.path().join("test.lua");
+        
+        // first run - set state
+        fs::write(&script_path, r#"
+            jarvis.state.set("key", "value")
+            return true
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        execute(&script_path, context, SandboxLevel::Standard, Duration::from_secs(5)).unwrap();
+        
+        // second run - read state
+        fs::write(&script_path, r#"
+            local val = jarvis.state.get("key")
+            if val == "value" then
+                return true
+            else
+                error("State not persisted")
+            end
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        let result = execute(&script_path, context, SandboxLevel::Standard, Duration::from_secs(5));
+        
+        assert!(result.is_ok());
+    }
+    
+    #[test]
+    fn test_timeout() {
+        let dir = tempdir().unwrap();
+        let script_path = dir.path().join("test.lua");
+        
+        fs::write(&script_path, r#"
+            while true do end
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        let result = execute(
+            &script_path,
+            context,
+            SandboxLevel::Minimal,
+            Duration::from_millis(100),
+        );
+        
+        assert!(matches!(result, Err(LuaError::Timeout)));
+    }
+    
+    #[test]
+    fn test_sandbox_fs_escape() {
+        let dir = tempdir().unwrap();
+        let script_path = dir.path().join("test.lua");
+        
+        fs::write(&script_path, r#"
+            local ok, err = pcall(function()
+                jarvis.fs.read("../../../etc/passwd")
+            end)
+            if ok then
+                error("Should have been blocked")
+            end
+            return true
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        let result = execute(&script_path, context, SandboxLevel::Standard, Duration::from_secs(5));
+        
+        assert!(result.is_ok());
+    }
+}

crates/jarvis-core/src/models.rs

@@ -0,0 +1,67 @@
+mod registry;
+mod catalog;
+pub mod structs;
+pub mod loaders;
+
+pub mod vosk_models;
+pub mod gliner_models;
+
+// re-export loaders
+#[cfg(feature = "jarvis_app")]
+pub use loaders::embedding;
+
+#[cfg(feature = "jarvis_app")]
+pub use loaders::gliner;
+
+#[cfg(feature = "jarvis_app")]
+pub use loaders::ort_model;
+
+#[cfg(feature = "jarvis_app")]
+pub use loaders::intent_classifier;
+
+#[cfg(feature = "vosk")]
+pub use loaders::vosk;
+
+#[cfg(feature = "nnnoiseless")]
+pub use loaders::nnnoiseless;
+
+pub use registry::ModelRegistry;
+pub use structs::{Task, ModelDef, BackendOption};
+
+use once_cell::sync::OnceCell;
+
+use crate::APP_DIR;
+
+pub const MODELS_PATH: &str = "resources/models";
+
+static REGISTRY: OnceCell<ModelRegistry> = OnceCell::new();
+
+pub fn init() -> Result<(), String> {
+    if REGISTRY.get().is_some() {
+        return Ok(());
+    }
+
+    let registry = ModelRegistry::new();
+
+    let models_dir = APP_DIR.join(MODELS_PATH);
+    let models = catalog::scan_models(&models_dir);
+    info!("Found {} model(s) in {:?}", models.len(), models_dir);
+    registry.set_catalog(models);
+
+    REGISTRY.set(registry)
+        .map_err(|_| "Models registry already initialized".to_string())?;
+
+    Ok(())
+}
+
+pub fn registry() -> &'static ModelRegistry {
+    REGISTRY.get().expect("Models registry not initialized - call models::init() first")
+}
+
+pub fn get_options(task: Task) -> Vec<BackendOption> {
+    registry().with_catalog(|models| catalog::get_options(task, models))
+}
+
+pub fn is_valid_backend(task: Task, backend_id: &str) -> bool {
+    registry().with_catalog(|models| catalog::is_valid_backend(task, backend_id, models))
+}

crates/jarvis-core/src/models/catalog.rs

@@ -0,0 +1,140 @@
+use std::fs;
+use std::path::Path;
+
+use super::structs::{Task, ModelDef, BackendOption};
+
+// scan the models directory for folders containing model.toml
+pub fn scan_models(models_dir: &Path) -> Vec<ModelDef> {
+    let mut models = Vec::new();
+
+    if !models_dir.exists() {
+        warn!("Models directory not found: {:?}", models_dir);
+        return models;
+    }
+
+    let entries = match fs::read_dir(models_dir) {
+        Ok(e) => e,
+        Err(e) => {
+            warn!("Failed to read models dir: {}", e);
+            return models;
+        }
+    };
+
+    for entry in entries.flatten() {
+        let path = entry.path();
+        if !path.is_dir() {
+            continue;
+        }
+
+        let toml_path = path.join("model.toml");
+        if !toml_path.exists() {
+            continue;
+        }
+
+        match load_model_def(&toml_path, &path) {
+            Ok(def) => {
+                info!("Found model: {} ({}) - tasks: {:?}", def.name, def.id, def.tasks);
+                models.push(def);
+            }
+            Err(e) => warn!("Failed to load model from {:?}: {}", path, e),
+        }
+    }
+
+    models
+}
+
+fn load_model_def(toml_path: &Path, model_dir: &Path) -> Result<ModelDef, String> {
+    let content = fs::read_to_string(toml_path)
+        .map_err(|e| format!("read error: {}", e))?;
+
+    let parsed: ModelToml = toml::from_str(&content)
+        .map_err(|e| format!("parse error: {}", e))?;
+
+    let mut def = parsed.model;
+    def.path = model_dir.to_path_buf();
+
+    Ok(def)
+}
+
+#[derive(serde::Deserialize)]
+struct ModelToml {
+    model: ModelDef,
+}
+
+// Code backends per task
+pub fn code_backends(task: Task) -> Vec<BackendOption> {
+    match task {
+        Task::Intent => vec![
+            BackendOption {
+                id: "intent-classifier".into(),
+                name: "Intent Classifier".into(),
+                model_id: None,
+            },
+        ],
+        Task::Slots => vec![],
+        Task::Vad => vec![
+            BackendOption {
+                id: "energy".into(),
+                name: "Energy-based".into(),
+                model_id: None,
+            },
+            BackendOption {
+                id: "nnnoiseless".into(),
+                name: "Nnnoiseless".into(),
+                model_id: None,
+            },
+        ],
+        Task::NoiseSuppression => vec![
+            BackendOption {
+                id: "nnnoiseless".into(),
+                name: "Nnnoiseless".into(),
+                model_id: None,
+            },
+        ],
+        Task::Stt => vec![
+            BackendOption {
+                id: "vosk".into(),
+                name: "Vosk".into(),
+                model_id: None,
+            },
+        ],
+    }
+}
+
+// get all available options for a task:
+// "none" first, then code backends, then AI models from catalog
+pub fn get_options(task: Task, models: &[ModelDef]) -> Vec<BackendOption> {
+    let mut options = vec![
+        BackendOption {
+            id: "none".into(),
+            name: "Disabled".into(),
+            model_id: None,
+        },
+    ];
+
+    options.extend(code_backends(task));
+
+    for model in models {
+        if model.tasks.contains(&task) {
+            options.push(BackendOption {
+                id: model.id.clone(),
+                name: model.name.clone(),
+                model_id: Some(model.id.clone()),
+            });
+        }
+    }
+
+    options
+}
+
+pub fn is_valid_backend(task: Task, backend_id: &str, models: &[ModelDef]) -> bool {
+    if backend_id == "none" {
+        return true;
+    }
+
+    if code_backends(task).iter().any(|b| b.id == backend_id) {
+        return true;
+    }
+
+    models.iter().any(|m| m.id == backend_id && m.tasks.contains(&task))
+}

crates/jarvis-core/src/models/gliner_models.rs

@@ -0,0 +1,130 @@
+use std::collections::HashMap;
+use std::fs;
+use crate::APP_DIR;
+
+const GLINER_DIRS: &[&str] = &["gliner_small-v2.1", "gliner_multi-v2.1"];
+
+#[derive(Debug, Clone)]
+pub struct GlinerModelVariant {
+    // type id stored in settings, e.g. "int8", "fp16", "full"
+    pub value: String,
+    // shown in dropdown, e.g. "int8 (174MB / 332MB)"
+    pub display_name: String,
+}
+
+// scan both model dirs and return a deduplicated list of model types
+pub fn scan_gliner_variants() -> Vec<GlinerModelVariant> {
+    let base = APP_DIR.join("resources").join("models");
+
+    // collect: type -> { dir_name -> size_mb }
+    let mut types: HashMap<String, HashMap<String, u64>> = HashMap::new();
+
+    for dir_name in GLINER_DIRS {
+        let onnx_dir = base.join(dir_name).join("onnx");
+        if !onnx_dir.exists() { continue; }
+
+        let entries = match fs::read_dir(&onnx_dir) {
+            Ok(e) => e,
+            Err(_) => continue,
+        };
+
+        for entry in entries.flatten() {
+            let path = entry.path();
+            let file_name = match path.file_name().and_then(|n| n.to_str()) {
+                Some(n) if n.ends_with(".onnx") => n.to_string(),
+                _ => continue,
+            };
+
+            let variant_type = file_name_to_type(&file_name);
+            let size_mb = fs::metadata(&path).map(|m| m.len()).unwrap_or(0) / (1024 * 1024);
+
+            types.entry(variant_type)
+                .or_default()
+                .insert(dir_name.to_string(), size_mb);
+        }
+    }
+
+    let mut result: Vec<GlinerModelVariant> = types.into_iter().map(|(variant, sizes)| {
+        let size_str = build_size_string(&sizes);
+        let label = if variant == "full" { "Full".to_string() } else { variant.clone() };
+        GlinerModelVariant {
+            display_name: format!("{} ({})", label, size_str),
+            value: variant,
+        }
+    }).collect();
+
+    // sort: full first, then alphabetically
+    result.sort_by(|a, b| {
+        let a_full = a.value == "full";
+        let b_full = b.value == "full";
+        b_full.cmp(&a_full).then_with(|| a.value.cmp(&b.value))
+    });
+
+    result
+}
+
+// "model.onnx" -> "full", "model_int8.onnx" -> "int8"
+fn file_name_to_type(name: &str) -> String {
+    let stem = name.strip_suffix(".onnx").unwrap_or(name);
+    if stem == "model" {
+        "full".to_string()
+    } else if let Some(variant) = stem.strip_prefix("model_") {
+        variant.to_string()
+    } else {
+        stem.to_string()
+    }
+}
+
+// build size display: "174MB" if only one dir, "small: 174MB / multi: 332MB" if both
+fn build_size_string(sizes: &HashMap<String, u64>) -> String {
+    if sizes.len() == 1 {
+        let (dir, mb) = sizes.iter().next().unwrap();
+        let short = short_dir_name(dir);
+        return format!("{}: {}MB", short, mb);
+    }
+
+    let mut parts: Vec<String> = Vec::new();
+    for dir_name in GLINER_DIRS {
+        if let Some(mb) = sizes.get(*dir_name) {
+            parts.push(format!("{}: {}MB", short_dir_name(dir_name), mb));
+        }
+    }
+    parts.join(" / ")
+}
+
+fn short_dir_name(dir: &str) -> &str {
+    if dir.contains("small") { "small" }
+    else if dir.contains("multi") { "multi" }
+    else { dir }
+}
+
+// resolve variant type + language into actual file path
+// returns (model_dir_path, onnx_file_name) or None
+pub fn resolve_model(variant: &str, language: &str) -> Option<(std::path::PathBuf, String)> {
+    let base = APP_DIR.join("resources").join("models");
+    let file_name = type_to_file_name(variant);
+
+    // pick dir based on language
+    let preferred: &[&str] = match language {
+        "en" => &["gliner_small-v2.1", "gliner_multi-v2.1"],
+        _ => &["gliner_multi-v2.1", "gliner_small-v2.1"],
+    };
+
+    for dir_name in preferred {
+        let path = base.join(dir_name).join("onnx").join(&file_name);
+        if path.exists() {
+            return Some((base.join(dir_name), file_name));
+        }
+    }
+
+    None
+}
+
+// "full" -> "model.onnx", "int8" -> "model_int8.onnx"
+fn type_to_file_name(variant: &str) -> String {
+    if variant == "full" || variant.is_empty() {
+        "model.onnx".to_string()
+    } else {
+        format!("model_{}.onnx", variant)
+    }
+}

crates/jarvis-core/src/models/loaders/embedding.rs

@@ -0,0 +1,47 @@
+// fastembed embedding model (all-MiniLM-L6-v2, paraphrase-multilingual, etc.)
+
+use std::sync::Arc;
+use parking_lot::Mutex;
+use fastembed::{TextEmbedding, UserDefinedEmbeddingModel, TokenizerFiles, Pooling, QuantizationMode, OutputKey};
+
+use crate::models::registry::ModelRegistry;
+
+pub struct EmbeddingModel {
+    pub embedding: Mutex<TextEmbedding>,
+}
+
+// fastembed uses ORT internally which is thread-safe
+unsafe impl Send for EmbeddingModel {}
+unsafe impl Sync for EmbeddingModel {}
+
+pub fn load(registry: &ModelRegistry, model_id: &str) -> Result<Arc<EmbeddingModel>, String> {
+    registry.get_or_load::<EmbeddingModel>(model_id, |def| {
+        let model_dir = &def.path;
+
+        info!("Loading embedding model from: {}", model_dir.display());
+
+        let user_model = UserDefinedEmbeddingModel {
+            onnx_file: std::fs::read(model_dir.join("model.onnx"))
+                .map_err(|e| format!("Failed to read model.onnx: {}", e))?,
+            tokenizer_files: TokenizerFiles {
+                tokenizer_file: std::fs::read(model_dir.join("tokenizer.json"))
+                    .map_err(|e| format!("Failed to read tokenizer.json: {}", e))?,
+                config_file: std::fs::read(model_dir.join("config.json"))
+                    .map_err(|e| format!("Failed to read config.json: {}", e))?,
+                special_tokens_map_file: std::fs::read(model_dir.join("special_tokens_map.json"))
+                    .map_err(|e| format!("Failed to read special_tokens_map.json: {}", e))?,
+                tokenizer_config_file: std::fs::read(model_dir.join("tokenizer_config.json"))
+                    .map_err(|e| format!("Failed to read tokenizer_config.json: {}", e))?,
+            },
+            pooling: Some(Pooling::Mean),
+            quantization: QuantizationMode::None,
+            output_key: Some(OutputKey::ByName("last_hidden_state")),
+        };
+
+        let model = TextEmbedding::try_new_from_user_defined(user_model, Default::default())
+            .map_err(|e| format!("Failed to load embedding model: {}", e))?;
+
+        info!("Embedding model loaded: {}", def.name);
+        Ok(EmbeddingModel { embedding: Mutex::new(model) })
+    })
+}

crates/jarvis-core/src/models/loaders/gliner.rs

@@ -0,0 +1,51 @@
+// GLiNER model for named entity recognition / slot extraction
+
+use std::sync::Arc;
+use parking_lot::Mutex;
+use regex::Regex;
+use tokenizers::Tokenizer;
+
+use crate::models::registry::ModelRegistry;
+
+const WORD_REGEX: &str = r"\w+(?:[-_]\w+)*|\S";
+
+pub struct GlinerModel {
+    pub session: Mutex<ort::session::Session>,
+    pub tokenizer: Tokenizer,
+    pub splitter: Regex,
+}
+
+unsafe impl Send for GlinerModel {}
+unsafe impl Sync for GlinerModel {}
+
+pub fn load(registry: &ModelRegistry, model_id: &str) -> Result<Arc<GlinerModel>, String> {
+    registry.get_or_load::<GlinerModel>(model_id, |def| {
+        let model_dir = &def.path;
+
+        // GLiNER models keep onnx files in an "onnx" subfolder
+        let onnx_dir = model_dir.join("onnx");
+        let model_path = if onnx_dir.exists() {
+            onnx_dir.join("model.onnx")
+        } else {
+            model_dir.join("model.onnx")
+        };
+
+        let tokenizer_path = model_dir.join("tokenizer.json");
+
+        info!("Loading GLiNER model from: {}", model_dir.display());
+
+        let session = ort::session::Session::builder()
+            .map_err(|e| format!("Failed to create ORT session builder: {}", e))?
+            .commit_from_file(&model_path)
+            .map_err(|e| format!("Failed to load ONNX model: {}", e))?;
+
+        let tokenizer = Tokenizer::from_file(&tokenizer_path)
+            .map_err(|e| format!("Failed to load tokenizer: {}", e))?;
+
+        let splitter = Regex::new(WORD_REGEX)
+            .map_err(|e| format!("Failed to compile word regex: {}", e))?;
+
+        info!("GLiNER model loaded: {}", def.name);
+        Ok(GlinerModel { session: Mutex::new(session), tokenizer, splitter })
+    })
+}

crates/jarvis-core/src/models/loaders/intent_classifier.rs

@@ -0,0 +1,30 @@
+// intent-classifier crate wrapper
+
+use std::sync::Arc;
+use intent_classifier::IntentClassifier;
+
+use crate::models::registry::ModelRegistry;
+
+pub struct IntentClassifierModel {
+    pub classifier: IntentClassifier,
+}
+
+unsafe impl Send for IntentClassifierModel {}
+unsafe impl Sync for IntentClassifierModel {}
+
+// init is async (IntentClassifier::new().await), so we create it
+// outside the registry and insert it after
+pub async fn load(registry: &ModelRegistry, model_id: &str) -> Result<Arc<IntentClassifierModel>, String> {
+    if let Some(existing) = registry.get::<IntentClassifierModel>(model_id) {
+        info!("IntentClassifier '{}' already loaded, reusing", model_id);
+        return Ok(existing);
+    }
+
+    info!("Initializing IntentClassifier...");
+
+    let classifier = IntentClassifier::new().await
+        .map_err(|e| format!("Failed to init IntentClassifier: {}", e))?;
+
+    info!("IntentClassifier initialized");
+    Ok(registry.insert(model_id, IntentClassifierModel { classifier }))
+}

crates/jarvis-core/src/models/loaders/mod.rs

@@ -0,0 +1,12 @@
+#[cfg(feature = "jarvis_app")]
+pub mod embedding;
+#[cfg(feature = "jarvis_app")]
+pub mod gliner;
+#[cfg(feature = "jarvis_app")]
+pub mod ort_model;
+#[cfg(feature = "jarvis_app")]
+pub mod intent_classifier;
+#[cfg(feature = "vosk")]
+pub mod vosk;
+#[cfg(feature = "nnnoiseless")]
+pub mod nnnoiseless;

crates/jarvis-core/src/models/loaders/nnnoiseless.rs

@@ -0,0 +1,110 @@
+// nnnoiseless - used for both noise suppression and VAD.
+// each consumer needs its own DenoiseState (stateful per-stream),
+// so this doesn't go through the registry. just centralizes creation.
+
+use nnnoiseless::DenoiseState;
+use crate::config;
+
+// noise suppression instance
+pub struct NnnoiselessNS {
+    state: Box<DenoiseState<'static>>,
+    buffer: Vec<f32>,
+}
+
+impl NnnoiselessNS {
+    pub fn new() -> Self {
+        Self {
+            state: DenoiseState::new(),
+            buffer: Vec::with_capacity(config::NNNOISELESS_FRAME_SIZE * 2),
+        }
+    }
+
+    pub fn process(&mut self, input: &[i16]) -> Vec<i16> {
+        self.buffer.extend(input.iter().map(|&s| s as f32));
+
+        let frame_size = config::NNNOISELESS_FRAME_SIZE;
+        let full_frames = self.buffer.len() / frame_size;
+
+        if full_frames == 0 {
+            return input.to_vec();
+        }
+
+        let mut output: Vec<i16> = Vec::with_capacity(full_frames * frame_size);
+        let mut input_frame = [0.0f32; 480];
+        let mut output_frame = [0.0f32; 480];
+
+        let consumed = full_frames * frame_size;
+        for i in 0..full_frames {
+            let offset = i * frame_size;
+            input_frame.copy_from_slice(&self.buffer[offset..offset + frame_size]);
+
+            let _ = self.state.process_frame(&mut output_frame, &input_frame);
+
+            for &sample in &output_frame {
+                let clamped = sample.clamp(i16::MIN as f32, i16::MAX as f32);
+                output.push(clamped as i16);
+            }
+        }
+
+        // keep leftover samples (single drain at the end)
+        self.buffer.drain(..consumed);
+
+        output
+    }
+
+    pub fn reset(&mut self) {
+        self.buffer.clear();
+    }
+}
+
+// VAD instance
+pub struct NnnoiselessVAD {
+    state: Box<DenoiseState<'static>>,
+    buffer: Vec<f32>,
+}
+
+impl NnnoiselessVAD {
+    pub fn new() -> Self {
+        Self {
+            state: DenoiseState::new(),
+            buffer: Vec::with_capacity(config::NNNOISELESS_FRAME_SIZE * 2),
+        }
+    }
+
+    pub fn detect(&mut self, input: &[i16]) -> (bool, f32) {
+        self.buffer.extend(input.iter().map(|&s| s as f32));
+
+        let frame_size = config::NNNOISELESS_FRAME_SIZE;
+        let full_frames = self.buffer.len() / frame_size;
+
+        if full_frames == 0 {
+            return (true, 0.5);
+        }
+
+        let mut total_vad = 0.0f32;
+        let mut input_frame = [0.0f32; 480];
+        let mut output_frame = [0.0f32; 480];
+
+        let consumed = full_frames * frame_size;
+        for i in 0..full_frames {
+            let offset = i * frame_size;
+            input_frame.copy_from_slice(&self.buffer[offset..offset + frame_size]);
+
+            let vad_prob = self.state.process_frame(&mut output_frame, &input_frame);
+            total_vad += vad_prob;
+        }
+
+        // single drain
+        self.buffer.drain(..consumed);
+
+        let avg_vad = total_vad / full_frames as f32;
+        let is_voice = avg_vad >= config::VAD_NNNOISELESS_THRESHOLD;
+
+        (is_voice, avg_vad)
+    }
+
+    pub fn reset(&mut self) {
+        self.state = DenoiseState::new();
+        self.buffer.clear();
+    }
+}

crates/jarvis-core/src/models/loaders/ort_model.rs

@@ -0,0 +1,44 @@
+// generic ORT model - session + optional tokenizer.
+// for models like BERT (tiny, distil, mini) that can serve
+// multiple tasks (intent, NER, text classification, etc.)
+
+use std::sync::Arc;
+use parking_lot::Mutex;
+use tokenizers::Tokenizer;
+
+use crate::models::registry::ModelRegistry;
+
+pub struct OrtModel {
+    pub session: Mutex<ort::session::Session>,
+    pub tokenizer: Option<Tokenizer>,
+}
+
+unsafe impl Send for OrtModel {}
+unsafe impl Sync for OrtModel {}
+
+pub fn load(registry: &ModelRegistry, model_id: &str) -> Result<Arc<OrtModel>, String> {
+    registry.get_or_load::<OrtModel>(model_id, |def| {
+        let model_dir = &def.path;
+        let onnx_path = model_dir.join("model.onnx");
+
+        info!("Loading ORT model from: {}", model_dir.display());
+
+        let session = ort::session::Session::builder()
+            .map_err(|e| format!("ORT session builder error: {}", e))?
+            .commit_from_file(&onnx_path)
+            .map_err(|e| format!("Failed to load ONNX model '{}': {}", onnx_path.display(), e))?;
+
+        let tokenizer_path = model_dir.join("tokenizer.json");
+        let tokenizer = if tokenizer_path.exists() {
+            Some(
+                Tokenizer::from_file(&tokenizer_path)
+                    .map_err(|e| format!("Failed to load tokenizer: {}", e))?
+            )
+        } else {
+            None
+        };
+
+        info!("ORT model loaded: {}", def.name);
+        Ok(OrtModel { session: Mutex::new(session), tokenizer })
+    })
+}

crates/jarvis-core/src/models/loaders/vosk.rs

@@ -0,0 +1,33 @@
+// vosk speech recognition model
+
+use std::sync::Arc;
+use vosk::Model;
+
+use crate::models::registry::ModelRegistry;
+
+pub struct VoskModel {
+    pub model: Model,
+}
+
+unsafe impl Send for VoskModel {}
+unsafe impl Sync for VoskModel {}
+
+// load a vosk model by path through the registry.
+// vosk models aren't in the catalog (they use their own directory structure),
+// so we pass the path directly and use model_id for dedup.
+// @ToDo: Consider moving to catalog
+pub fn load(registry: &ModelRegistry, model_id: &str, model_path: &str) -> Result<Arc<VoskModel>, String> {
+    // check if already loaded
+    if let Some(existing) = registry.get::<VoskModel>(model_id) {
+        info!("Vosk model '{}' already loaded, reusing", model_id);
+        return Ok(existing);
+    }
+
+    info!("Loading Vosk model from: {}", model_path);
+
+    let model = Model::new(model_path)
+        .ok_or_else(|| format!("Failed to load Vosk model from: {}", model_path))?;
+
+    info!("Vosk model loaded: {}", model_id);
+    Ok(registry.insert(model_id, VoskModel { model }))
+}

crates/jarvis-core/src/models/registry.rs

@@ -0,0 +1,108 @@
+use std::any::Any;
+use std::collections::HashMap;
+use std::sync::Arc;
+use parking_lot::{Mutex, RwLock};
+
+use super::structs::ModelDef;
+
+// central model registry. loads models once and shares them between components.
+// completely type-agnostic
+pub struct ModelRegistry {
+    loaded: Mutex<HashMap<String, Arc<dyn Any + Send + Sync>>>,
+    catalog: RwLock<Vec<ModelDef>>,
+}
+
+impl ModelRegistry {
+    pub fn new() -> Self {
+        Self {
+            loaded: Mutex::new(HashMap::new()),
+            catalog: RwLock::new(Vec::new()),
+        }
+    }
+
+    pub fn set_catalog(&self, defs: Vec<ModelDef>) {
+        *self.catalog.write() = defs;
+    }
+
+    // read access to catalog without cloning the whole vec
+    pub fn with_catalog<R>(&self, f: impl FnOnce(&[ModelDef]) -> R) -> R {
+        f(&self.catalog.read())
+    }
+
+    pub fn get_model_def(&self, id: &str) -> Option<ModelDef> {
+        self.catalog.read().iter().find(|m| m.id == id).cloned()
+    }
+
+    // get a loaded model, downcasted to the expected type
+    pub fn get<T: 'static + Send + Sync>(&self, id: &str) -> Option<Arc<T>> {
+        self.loaded.lock()
+            .get(id)?
+            .clone()
+            .downcast::<T>()
+            .ok()
+    }
+
+    // get or load a model. if two components request the same id,
+    // the model only loads once.
+    //
+    // the lock is released before calling the loader to avoid deadlocks
+    // if the loader tries to load a dependency through the registry.
+    pub fn get_or_load<T: 'static + Send + Sync>(
+        &self,
+        id: &str,
+        loader: impl FnOnce(&ModelDef) -> Result<T, String>,
+    ) -> Result<Arc<T>, String> {
+        // fast path: already loaded
+        if let Some(existing) = self.get::<T>(id) {
+            info!("Model '{}' already loaded, reusing", id);
+            return Ok(existing);
+        }
+
+        // grab model def (releases catalog lock immediately)
+        let def = self.get_model_def(id)
+            .ok_or_else(|| format!("Model '{}' not found in catalog", id))?;
+
+        // run loader without holding any lock
+        info!("Loading model '{}' from {:?}...", id, def.path);
+        let model = loader(&def)?;
+        let arc = Arc::new(model);
+
+        // insert (check again in case another thread loaded it meanwhile)
+        let mut map = self.loaded.lock();
+        if let Some(existing) = map.get(id) {
+            if let Ok(typed) = existing.clone().downcast::<T>() {
+                info!("Model '{}' was loaded by another thread, reusing", id);
+                return Ok(typed);
+            }
+        }
+
+        map.insert(id.to_string(), arc.clone());
+        info!("Model '{}' loaded and registered", id);
+
+        Ok(arc)
+    }
+
+    // insert a model directly (for models not in the catalog,
+    // or loaded through non-standard means like async init)
+    pub fn insert<T: 'static + Send + Sync>(&self, id: &str, model: T) -> Arc<T> {
+        let arc = Arc::new(model);
+        self.loaded.lock().insert(id.to_string(), arc.clone());
+        arc
+    }
+
+    pub fn unload(&self, id: &str) -> bool {
+        let removed = self.loaded.lock().remove(id).is_some();
+        if removed {
+            info!("Model '{}' unloaded from registry", id);
+        }
+        removed
+    }
+
+    pub fn is_loaded(&self, id: &str) -> bool {
+        self.loaded.lock().contains_key(id)
+    }
+
+    pub fn loaded_ids(&self) -> Vec<String> {
+        self.loaded.lock().keys().cloned().collect()
+    }
+}

crates/jarvis-core/src/models/structs.rs

@@ -0,0 +1,38 @@
+use std::path::PathBuf;
+use serde::{Serialize, Deserialize};
+
+// tasks that components can request a backend for
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum Task {
+    Intent,
+    Slots,
+    Vad,
+    NoiseSuppression,
+    Stt,
+}
+
+// metadata about a model, parsed from model.toml on disk
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ModelDef {
+    pub id: String,
+    pub name: String,
+    pub tasks: Vec<Task>,
+
+    #[serde(default)]
+    pub description: String,
+
+    // set at runtime after scanning the folder
+    #[serde(skip)]
+    pub path: PathBuf,
+}
+
+// a selectable option for a task (shown in UI / stored in settings)
+#[derive(Debug, Clone, Serialize)]
+pub struct BackendOption {
+    pub id: String,
+    pub name: String,
+    // if Some, this option uses a model from the registry.
+    // if None, it's a code-only backend (like energy VAD) or disabled.
+    pub model_id: Option<String>,
+}

crates/jarvis-core/src/models/vosk_models.rs

@@ -0,0 +1,113 @@
+use std::fs;
+use std::path::{Path, PathBuf};
+
+use crate::{APP_DIR, config};
+
+#[derive(Debug, Clone)]
+pub struct VoskModelInfo {
+    pub name: String,       // folder name: "vosk-model-small-ru-0.22"
+    pub path: PathBuf,      // full path
+    pub language: String,   // extracted from name: "ru"
+    pub size: String,       // "small", "large", etc.
+}
+
+// Scan for available Vosk models
+pub fn scan_vosk_models() -> Vec<VoskModelInfo> {
+    let models_dir = {
+        APP_DIR.join(config::VOSK_MODELS_PATH)
+    };
+    let mut models = Vec::new();
+    
+    info!("VOSK MODELS DIR: {}", models_dir.display());
+
+    if !models_dir.exists() {
+        warn!("Vosk models directory not found: {}", models_dir.display());
+        return models;
+    }
+    
+    let entries = match fs::read_dir(models_dir) {
+        Ok(e) => e,
+        Err(e) => {
+            warn!("Failed to read vosk models directory: {}", e);
+            return models;
+        }
+    };
+    
+    for entry in entries {
+        let entry = match entry {
+            Ok(e) => e,
+            Err(_) => continue,
+        };
+        
+        let path = entry.path();
+        
+        // must be a directory
+        if !path.is_dir() {
+            continue;
+        }
+        
+        // check if it looks like a vosk model (has am/conf/graph folders or similar)
+        if !is_vosk_model(&path) {
+            continue;
+        }
+        
+        let name = path.file_name()
+            .and_then(|n| n.to_str())
+            .unwrap_or("")
+            .to_string();
+        
+        let (language, size) = parse_model_name(&name);
+        
+        models.push(VoskModelInfo {
+            name,
+            path,
+            language,
+            size,
+        });
+    }
+    
+    models.sort_by(|a, b| a.name.cmp(&b.name));
+    models
+}
+
+// Check if directory looks like a Vosk model
+fn is_vosk_model(path: &Path) -> bool {
+    // vosk models typically have these subdirectories
+    path.join("am").exists() || 
+    path.join("conf").exists() || 
+    path.join("graph").exists() ||
+    path.join("ivector").exists()
+}
+
+// Extract language and size from model name
+// e.g., "vosk-model-small-ru-0.22" -> ("ru", "small")
+fn parse_model_name(name: &str) -> (String, String) {
+    let parts: Vec<&str> = name.split('-').collect();
+    
+    let mut language = String::from("unknown");
+    let mut size = String::from("unknown");
+    
+    // look for common size indicators
+    for part in &parts {
+        match *part {
+            "small" | "big" | "large" | "lgraph" => size = part.to_string(),
+            // language codes are usually 2 letters
+            s if s.len() == 2 && s.chars().all(|c| c.is_alphabetic()) => {
+                language = s.to_string();
+            }
+            _ => {}
+        }
+    }
+    
+    (language, size)
+}
+
+// Get model path by name
+pub fn get_model_path(model_name: &str) -> Option<PathBuf> {
+    let path = Path::new(config::VOSK_MODELS_PATH).join(model_name);
+    if path.exists() && path.is_dir() {
+        Some(path)
+    } else {
+        None
+    }
+}

crates/jarvis-core/src/recorder.rs

@@ -0,0 +1,171 @@
+mod pvrecorder;
+
+// mod cpal;
+// mod portaudio;
+
+use once_cell::sync::OnceCell;
+
+use crate::{config, config::structs::RecorderType, DB};
+
+static RECORDER_TYPE: OnceCell<RecorderType> = OnceCell::new();
+static FRAME_LENGTH: OnceCell<u32> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    // set default recorder type
+    // @TODO. Make it configurable?
+    RECORDER_TYPE.set(config::DEFAULT_RECORDER_TYPE).unwrap();
+
+    // some info
+    info!("Loading recorder ...");
+    info!("Available audio_devices are:\n{:?}", get_audio_devices());
+
+    // load given recorder
+    match RECORDER_TYPE.get().unwrap() {
+        RecorderType::PvRecorder => {
+            // Init Pv Recorder
+            info!("Initializing PvRecorder recording backend.");
+            FRAME_LENGTH.set(512u32).unwrap(); // pvrecorder requires frame buffer of 512
+            let selected_microphone = get_selected_microphone_index();
+            match pvrecorder::init_microphone(
+                selected_microphone,
+                FRAME_LENGTH.get().unwrap().to_owned(),
+            ) {
+                false => {
+                    error!("Recorder initialization failed.");
+
+                    return Err(());
+                }
+                _ => {
+                    info!(
+                        "Recorder initialization success. Listening to microphone ({}): {}",
+                        selected_microphone,
+                        get_audio_device_name(selected_microphone)
+                    );
+                }
+            }
+        }
+        RecorderType::PortAudio => {
+            // Init PortAudio
+            info!("Initializing PortAudio recording backend");
+            todo!();
+            // match portaudio::init_microphone(get_selected_microphone_index(), FRAME_LENGTH.load(Ordering::SeqCst)) {
+            //     false => {
+            //         // Switch to PortAudio recorder
+            //         error!("PortAudio audio backend failed.");
+            //     },
+            //     _ => ()
+            // }
+        }
+        RecorderType::Cpal => {
+            // Init CPAL
+            info!("Initializing CPAL recording backend");
+            todo!();
+            // match cpal::init_microphone(get_selected_microphone_index(), FRAME_LENGTH.load(Ordering::SeqCst)) {
+            //     false => {
+            //         // Switch to CPAL recorder
+            //         error!("CPAL audio backend failed.");
+            //     },
+            //     _ => ()
+            // }
+        }
+    }
+
+    Ok(())
+}
+
+pub fn read_microphone(frame_buffer: &mut [i16]) {
+    match RECORDER_TYPE.get().unwrap() {
+        RecorderType::PvRecorder => {
+            pvrecorder::read_microphone(frame_buffer);
+        }
+        RecorderType::PortAudio => {
+            todo!();
+            // portaudio::read_microphone(frame_buffer);
+        }
+        RecorderType::Cpal => {
+            // cpal::read_microphone(frame_buffer);
+            panic!("Cpal should be used via callback assignment");
+        }
+    }
+}
+
+pub fn start_recording() -> Result<(), ()> {
+    match RECORDER_TYPE.get().unwrap() {
+        RecorderType::PvRecorder => {
+            return pvrecorder::start_recording(
+                get_selected_microphone_index(),
+                FRAME_LENGTH.get().unwrap().to_owned(),
+            );
+        }
+        RecorderType::PortAudio => {
+            todo!();
+            // portaudio::start_recording(get_selected_microphone_index(), FRAME_LENGTH.load(Ordering::SeqCst));
+        }
+        RecorderType::Cpal => {
+            todo!();
+            // cpal::start_recording(get_selected_microphone_index(), FRAME_LENGTH.load(Ordering::SeqCst));
+        }
+    }
+}
+
+pub fn stop_recording() -> Result<(), ()> {
+    match RECORDER_TYPE.get().unwrap() {
+        RecorderType::PvRecorder => pvrecorder::stop_recording(),
+        RecorderType::PortAudio => {
+            todo!();
+            // portaudio::stop_recording();
+        }
+        RecorderType::Cpal => {
+            todo!();
+            // cpal::stop_recording();
+        }
+    }
+}
+
+pub fn get_selected_microphone_index() -> i32 {
+    let idx = DB.get().unwrap().read().microphone;
+
+    if idx > 0 {
+        // validate that this microphone is actually in the list
+        let devices = get_audio_devices();
+        if (idx as usize) >= devices.len() {
+            warn!("Microphone index {} not found ({} available), falling back to default", 
+                idx, devices.len());
+            return -1;
+        }
+    }
+    
+    idx
+}
+
+pub fn get_audio_devices() -> Vec<String> {
+    match RECORDER_TYPE.get() {
+        Some(RecorderType::PvRecorder) => pvrecorder::list_audio_devices(),
+        Some(RecorderType::PortAudio) => {
+            todo!();
+        }
+        Some(RecorderType::Cpal) => {
+            todo!();
+        }
+        None => {
+            // not initialized yet, default to pvrecorder
+            pvrecorder::list_audio_devices()
+        }
+    }
+}
+
+pub fn get_audio_device_name(idx: i32) -> String {
+    match RECORDER_TYPE.get() {
+        Some(RecorderType::PvRecorder) => pvrecorder::get_audio_device_name(idx),
+        Some(RecorderType::PortAudio) => {
+            todo!();
+        }
+        Some(RecorderType::Cpal) => {
+            todo!();
+        }
+        None => {
+            // not initialized yet, default to pvrecorder
+            pvrecorder::get_audio_device_name(idx)
+        }
+    }
+}

crates/jarvis-core/src/recorder/cpal.rs

@@ -0,0 +1,191 @@
+/*
+    Abandoned temporary.
+    Problems with frame size.
+*/
+
+use cpal::traits::{DeviceTrait, HostTrait, StreamTrait};
+use cpal::{BufferSize, StreamConfig, SampleRate, Host, Device, Stream, SampleFormat};
+use log::{info, warn, error};
+
+use once_cell::sync::OnceCell;
+use std::sync::Arc;
+use arc_swap::ArcSwap;
+use std::sync::atomic::{AtomicBool, AtomicI32, AtomicU32, Ordering};
+
+use crate::tauri_commands::cpal_data_callback;
+
+static HOST: OnceCell<Host> = OnceCell::new();
+thread_local!(static RECORDER: OnceCell<ArcSwap<Stream>> = OnceCell::new());
+static SELECTED_MICROPHONE_IDX: AtomicI32 = AtomicI32::new(0);
+static FRAME_LENGTH: AtomicU32 = AtomicU32::new(0);
+static IS_RECORDING: AtomicBool = AtomicBool::new(false);
+
+pub fn init_microphone(device_index: i32, frame_length: u32) -> bool {
+    // init host & frame buffer for the callback
+    if HOST.get().is_none() {
+        HOST.set(cpal::default_host());
+
+        // FRAME_BUFFER.set(Mutex::new(vec![0; FRAME_LENGTH.load(Ordering::SeqCst) as usize]));
+    }
+
+    // init microphone
+    RECORDER.with(|recorder| {
+        match recorder.get().is_none() {
+            true => {
+                if let Some(device) = get_device(device_index as usize) {
+                    // store
+                    recorder.set(ArcSwap::from_pointee(create_stream(device, frame_length)));
+    
+                    // remember current configuration
+                    SELECTED_MICROPHONE_IDX.store(device_index, Ordering::SeqCst);
+                    FRAME_LENGTH.store(frame_length, Ordering::SeqCst);
+    
+                    // success
+                    true
+                } else {
+                    false
+                }
+            },
+            false => {
+                // check if re-initialization required (i.e. selecetd microphoneor frame-length was changed )
+                if SELECTED_MICROPHONE_IDX.load(Ordering::SeqCst) != device_index
+                   ||
+                   FRAME_LENGTH.load(Ordering::SeqCst) != frame_length {
+                    warn!("Selected microphone or frame length was changed, re-initializing ...");
+                    // initialize again with new device index
+                    if IS_RECORDING.load(Ordering::SeqCst) {
+                        stop_recording();
+                    }
+    
+                    // remember new configuration
+                    SELECTED_MICROPHONE_IDX.store(device_index, Ordering::SeqCst);
+                    FRAME_LENGTH.store(frame_length, Ordering::SeqCst);
+    
+                    if let Some(device) = get_device(device_index as usize) {
+                        // store
+                        recorder.get().unwrap().store(Arc::new(create_stream(device, frame_length)));
+    
+                        // success
+                        return true
+                    } else {
+                        return false
+                    }
+                }
+    
+                // success
+                true
+            }
+        }
+    })
+}
+
+fn create_stream(device: Device, frame_length: u32) -> Stream {
+    // get default input stream config
+    // let default_config = device.default_input_config().unwrap();
+
+    // create config for the stream
+    // let config: StreamConfig = StreamConfig {
+    //     channels: default_config.channels(),
+    //     sample_rate: SampleRate(16000),
+    //     buffer_size: BufferSize::Fixed(frame_length)
+    // };
+
+    let config = device
+        .default_input_config()
+        .expect("Failed to load default input config");
+
+    let channels = config.channels();
+
+    let err_fn = move |err| {
+        eprintln!("an error occurred on stream: {}", err);
+    };
+
+    match config.sample_format() {
+        SampleFormat::F32 => device.build_input_stream(
+            &config.into(),
+            move |data: &[f32], info| {
+                cpal_data_callback(data, channels);
+            },
+            err_fn,
+            None
+        ),
+        SampleFormat::U16 => device.build_input_stream(
+            &config.into(),
+            move |data: &[u16], info| {
+                cpal_data_callback(data, channels);
+            },
+            err_fn,
+            None
+        ),
+        SampleFormat::I16 => device.build_input_stream(
+            &config.into(),
+            move |data: &[i16], info| {
+                cpal_data_callback(data, channels);
+            },
+            err_fn,
+            None
+        ),
+        _ => todo!()
+    }.unwrap()
+}
+
+pub fn stereo_to_mono(input_data: &[i16]) -> Vec<i16> {
+    let mut result = Vec::with_capacity(input_data.len() / 2);
+    result.extend(
+        input_data
+            .chunks_exact(2)
+            .map(|chunk| chunk[0] / 2 + chunk[1] / 2),
+    );
+
+    result
+}
+
+fn get_device(device_index: usize) -> Option<Device> {
+    if let Some(device) = HOST.get().unwrap().input_devices().expect("Get devices error ...").nth(device_index) {
+        Some(device)
+    } else {
+        if let Some(default) = HOST.get().unwrap().default_input_device() {
+            Some(default)
+        } else {
+            error!("No default input device ...");
+
+            None
+        }
+    }
+}
+
+pub fn start_recording(device_index: i32, frame_length: u32) {
+    // ensure microphone is initialized
+    init_microphone(device_index, frame_length);
+
+    // start recording
+    RECORDER.with(|recorder| {
+        match recorder.get().unwrap().load().play() {
+            Err(msg) => {
+                error!("[CPAL] Audio stream PLAY error ... {:?}", msg);
+            },
+            _ => ()
+        };
+
+        IS_RECORDING.store(true, Ordering::SeqCst);
+        info!("START recording from microphone ...");
+    });
+}
+
+pub fn stop_recording() {
+    // ensure microphone is initialized
+    RECORDER.with(|recorder| {
+        if recorder.get().is_some() && IS_RECORDING.load(Ordering::SeqCst) {
+            // pause instead of stop
+            match recorder.get().unwrap().load().pause() {
+                Err(msg) => {
+                    error!("[CPAL] Audio stream PAUSE error ... {:?}", msg);
+                },
+                _ => ()
+            };
+
+            IS_RECORDING.store(false, Ordering::SeqCst);
+            info!("STOP recording from microphone ...");
+        }
+    });
+}

crates/jarvis-core/src/recorder/portaudio.rs

@@ -0,0 +1,205 @@
+/*
+    Abandoned temporary.
+*/
+
+use portaudio as pa;
+use pa::{DeviceIndex, Stream};
+use log::{info, warn, error};
+
+use once_cell::sync::OnceCell;
+use std::sync::{Arc, Mutex};
+use arc_swap::ArcSwap;
+use std::sync::atomic::{AtomicBool, AtomicI32, AtomicU32, Ordering};
+ 
+thread_local!(static RECORDER: OnceCell<ArcSwap<Mutex<Stream<pa::Blocking<pa::stream::Buffer>, pa::Input<i16>>>>> = OnceCell::new());
+static SELECTED_MICROPHONE_IDX: AtomicI32 = AtomicI32::new(0);
+static FRAME_LENGTH: AtomicU32 = AtomicU32::new(0);
+static IS_RECORDING: AtomicBool = AtomicBool::new(false);
+
+const CHANNELS: i32 = 1;
+const SAMPLE_RATE: f64 = 16_000.0;
+
+pub fn init_microphone(device_index: i32, frame_length: u32) -> bool {
+    RECORDER.with(|r| {
+        match r.get().is_none() {
+            true => {
+                match create_stream(device_index, frame_length) {
+                    Ok(stream) => {
+                        // store
+                        r.set(ArcSwap::from_pointee(Mutex::new(stream)));
+    
+                        // remember current configuration
+                        SELECTED_MICROPHONE_IDX.store(device_index, Ordering::SeqCst);
+                        FRAME_LENGTH.store(frame_length, Ordering::SeqCst);
+    
+                        // success
+                        true
+                    },
+                    Err(msg) => {
+                        error!("Failed to initialize portaudio.\nError details: {:?}", msg);
+    
+                        // fail
+                        false
+                    }
+                }
+            },
+            _ => {
+                // check if re-initialization required (i.e. selecetd microphoneor frame-length was changed )
+                if SELECTED_MICROPHONE_IDX.load(Ordering::SeqCst) != device_index
+                   ||
+                   FRAME_LENGTH.load(Ordering::SeqCst) != frame_length {
+                    warn!("Selected microphone or frame length was changed, re-initializing ...");
+                    // initialize again with new device index
+                    if IS_RECORDING.load(Ordering::SeqCst) {
+                        // RECORDER.get().unwrap().load().stop().expect("Failed to start audio recording!");
+                        stop_recording();
+                    }
+
+                    // store
+                    match create_stream(device_index, frame_length) {
+                        Ok(stream) => {
+                            // store new stream
+                            r.get().unwrap().store(Arc::new(Mutex::new(stream)));
+        
+                            // remember new configuration
+                            SELECTED_MICROPHONE_IDX.store(device_index, Ordering::SeqCst);
+                            FRAME_LENGTH.store(frame_length, Ordering::SeqCst);
+        
+                            // success
+                            return true
+                        },
+                        Err(msg) => {
+                            error!("Failed to initialize portaudio.\nError details: {:?}", msg);
+        
+                            // fail
+                            return false
+                        }
+                    }
+                }
+    
+                // success
+                true
+            }
+        }
+    })
+}
+
+fn create_stream(device_index: i32, frame_length: u32) -> Result<Stream<pa::Blocking<pa::stream::Buffer>, pa::Input<i16>>, pa::Error> {
+    let pa_recorder: Result<pa::PortAudio, pa::Error> = pa::PortAudio::new();
+    
+    match pa_recorder {
+        Ok(pa) => {
+            let input_settings = match get_input_settings(DeviceIndex(device_index as u32), &pa, SAMPLE_RATE, frame_length, CHANNELS) {
+                Ok(settings) => settings,
+                Err(error) => panic!("{}", String::from(error))
+            };
+        
+            // Construct a stream with input and output sample types of i16
+            match pa.open_blocking_stream(input_settings) {
+                Ok(strm) => Ok(strm),
+                Err(error) => panic!("{}", error.to_string()),
+            }
+        },
+        Err(msg) => Err(msg)
+    }
+}
+
+fn get_input_latency(audio_port: &pa::PortAudio, input_index: pa::DeviceIndex) -> Result<f64, String>
+{
+    let input_device_information = audio_port.device_info(input_index).or_else(|error| Err(String::from(format!("{}", error))));
+    Ok(input_device_information.unwrap().default_low_input_latency)
+}
+
+fn get_input_stream_parameters(input_index: pa::DeviceIndex, latency: f64, channels: i32) -> Result<pa::StreamParameters<i16>, String>
+{
+    const INTERLEAVED: bool = true;
+    Ok(pa::StreamParameters::<i16>::new(input_index, channels, INTERLEAVED, latency))
+}
+
+fn get_input_settings(input_index: pa::DeviceIndex, audio_port: &pa::PortAudio, sample_rate: f64, frames: u32, channels: i32) -> Result<pa::InputStreamSettings<i16>, String>
+{
+    Ok(
+        pa::InputStreamSettings::new(
+            (get_input_stream_parameters(
+                input_index,
+                (get_input_latency(
+                    &audio_port,
+                    input_index,
+                ))?,
+                channels
+            ))?,
+            sample_rate,
+            frames,
+        )
+    )
+}
+
+// We'll use this function to wait for read/write availability.
+fn wait_for_stream<F>(f: F, name: &str) -> u32
+where
+    F: Fn() -> Result<pa::StreamAvailable, pa::error::Error>,
+{
+    loop {
+        match f() {
+            Ok(available) => match available {
+                pa::StreamAvailable::Frames(frames) => return frames as u32,
+                pa::StreamAvailable::InputOverflowed => println!("Input stream has overflowed"),
+                pa::StreamAvailable::OutputUnderflowed => {
+                    println!("Output stream has underflowed")
+                }
+            },
+            Err(err) => panic!(
+                "An error occurred while waiting for the {} stream: {}",
+                name, err
+            ),
+        }
+    }
+}
+
+pub fn read_microphone(frame_buffer: &mut [i16]) {
+    // ensure microphone is initialized
+    RECORDER.with(|r| {
+        if r.get().is_some() {
+            let cell = r.get().unwrap().load();
+            let mut lock = cell.lock();
+            let stream = lock.as_mut().unwrap();
+
+            // read to frame buffer
+            let in_frames = wait_for_stream(|| stream.read_available(), "Read");
+
+            if in_frames > 0 {
+                // let input_samples = stream.read(in_frames).expect("Cannot read frames ...");
+                // println!("Read {:?} frames from the input stream.", in_frames);
+
+                let input_samples = stream.read(in_frames).expect("Cannot read frames ...");
+                println!("Read: {} (required {})", input_samples.len(), frame_buffer.len());
+                frame_buffer.copy_from_slice(input_samples.chunks(frame_buffer.len()).last().unwrap());
+            }
+            // r.get().unwrap().load().read(frame_buffer).expect("Failed to read audio frame");
+        }
+    });
+}
+
+pub fn start_recording(device_index: i32, frame_length: u32) {
+    // ensure microphone is initialized
+    init_microphone(device_index, frame_length);
+
+    // start recording
+    RECORDER.with(|r| {
+        r.get().unwrap().load().lock().unwrap().start().expect("Failed to start audio recording!");
+        IS_RECORDING.store(true, Ordering::SeqCst);
+        info!("START recording from microphone ...");
+    });
+}
+
+pub fn stop_recording() {
+    RECORDER.with(|r| {
+        if r.get().is_some() && IS_RECORDING.load(Ordering::SeqCst) {
+            // stop recording
+            let pa = r.get().unwrap().load();
+            r.get().unwrap().load().lock().unwrap().stop().expect("Failed to stop audio recording!");
+            IS_RECORDING.store(false, Ordering::SeqCst);
+            info!("STOP recording from microphone ...");
+        }
+    });
+}

crates/jarvis-core/src/recorder/pvrecorder.rs

@@ -0,0 +1,136 @@
+use once_cell::sync::OnceCell;
+use pv_recorder::{PvRecorder, PvRecorderBuilder};
+use std::sync::atomic::{AtomicBool, Ordering};
+
+static RECORDER: OnceCell<PvRecorder> = OnceCell::new();
+static IS_RECORDING: AtomicBool = AtomicBool::new(false);
+
+pub fn init_microphone(device_index: i32, frame_length: u32) -> bool {
+    if RECORDER.get().is_some() {
+        return true; // already initialized
+    }
+    
+    // initialize
+    let pv_recorder = PvRecorderBuilder::new(frame_length as i32)
+        .device_index(device_index)
+        // .frame_length(frame_length as i32)
+        .init();
+
+    match pv_recorder {
+        Ok(pv) => {
+            // store
+            let _ = RECORDER.set(pv);
+
+            // success
+            true
+        }
+        Err(msg) => {
+            error!("Failed to initialize pvrecorder.\nError details: {:?}", msg);
+
+            // fail
+            false
+        }
+    }
+}
+
+pub fn read_microphone(frame_buffer: &mut [i16]) {
+    // ensure microphone is initialized
+    if RECORDER.get().is_some() {
+        // read to frame buffer
+
+        let frame = RECORDER.get().unwrap().read();
+
+        match frame {
+            Ok(f) => {
+                frame_buffer.copy_from_slice(f.as_slice());
+            }
+            Err(msg) => {
+                // @TODO: Fix? PvRecorder always wait for PCM buffer size of 512.
+                error!("Failed to read audio frame. {:?}", msg);
+            }
+        }
+    }
+}
+
+pub fn start_recording(device_index: i32, frame_length: u32) -> Result<(), ()> {
+    // ensure microphone is initialized
+    init_microphone(device_index, frame_length);
+
+    // start recording
+    match RECORDER.get().unwrap().start() {
+        Ok(_) => {
+            info!("START recording from microphone ...");
+
+            // change recording state
+            IS_RECORDING.store(true, Ordering::SeqCst);
+
+            // success
+            Ok(())
+        }
+        Err(msg) => {
+            error!("Failed to START audio recording: {}", msg);
+
+            // fail
+            Err(())
+        }
+    }
+}
+
+pub fn stop_recording() -> Result<(), ()> {
+    // ensure microphone is initialized & recording is in process
+    if RECORDER.get().is_some() && IS_RECORDING.load(Ordering::SeqCst) {
+        // stop recording
+        match RECORDER.get().unwrap().stop() {
+            Ok(_) => {
+                info!("STOP recording from microphone ...");
+
+                // change recording state
+                IS_RECORDING.store(false, Ordering::SeqCst);
+
+                // success
+                return Ok(());
+            }
+            Err(msg) => {
+                error!("Failed to STOP audio recording: {}", msg);
+
+                // fail
+                return Err(());
+            }
+        }
+    }
+
+    Ok(()) // if already stopped or not yet initialized
+}
+
+pub fn list_audio_devices() -> Vec<String> {
+    let audio_devices = PvRecorderBuilder::default().get_available_devices();
+    match audio_devices {
+        Ok(audio_devices) => audio_devices,
+        Err(err) => {
+            error!("Failed to get audio devices: {}", err);
+            Vec::new()
+        },
+    }
+}
+
+pub fn get_audio_device_name(idx: i32) -> String {
+    if idx == -1 {
+        return String::from("System Default");
+    }
+
+    let audio_devices = list_audio_devices();
+    let mut first_device: String = String::new();
+
+    for (_idx, device) in audio_devices.iter().enumerate() {
+        if idx as usize == _idx {
+            return device.to_string();
+        }
+
+        if _idx == 0 {
+            first_device = device.to_string()
+        }
+    }
+
+    // return first device as default, if none were matched
+    first_device
+}

crates/jarvis-core/src/slots.rs

@@ -0,0 +1,58 @@
+mod gliner;
+
+use std::collections::HashMap;
+use once_cell::sync::OnceCell;
+
+use crate::commands::{SlotDefinition, SlotValue};
+use crate::{models, DB};
+
+static BACKEND: OnceCell<String> = OnceCell::new();
+
+pub fn init() -> Result<(), String> {
+    if BACKEND.get().is_some() {
+        return Ok(());
+    }
+
+    let backend = DB.get()
+        .map(|db| db.read().slots_backend.clone())
+        .unwrap_or_else(|| "none".to_string());
+
+    BACKEND.set(backend.clone()).map_err(|_| "Slot backend already set")?;
+
+    match backend.as_str() {
+        "none" => {
+            info!("Slot extraction disabled");
+        }
+        // any model ID is treated as a GLiNER model for now
+        model_id => {
+            info!("Initializing GLiNER slot extraction with model '{}'.", model_id);
+            let model = models::gliner::load(models::registry(), model_id)?;
+            gliner::init_with_model(model)?;
+            info!("GLiNER slot extraction initialized.");
+        }
+    }
+
+    Ok(())
+}
+
+pub fn extract(
+    text: &str,
+    slots: &HashMap<String, SlotDefinition>,
+) -> HashMap<String, SlotValue> {
+    if slots.is_empty() {
+        return HashMap::new();
+    }
+
+    match BACKEND.get().map(|s| s.as_str()).unwrap_or("none") {
+        "none" => HashMap::new(),
+        _ => {
+            match gliner::extract(text, slots) {
+                Ok(result) => result,
+                Err(e) => {
+                    error!("GLiNER slot extraction failed: {}", e);
+                    HashMap::new()
+                }
+            }
+        }
+    }
+}

crates/jarvis-core/src/slots/gliner.rs

@@ -0,0 +1,395 @@
+// BASED ON: gline-rs crate source code
+// https://github.com/fbilhaut/gline-rs
+
+use std::collections::HashMap;
+use std::sync::Arc;
+use once_cell::sync::OnceCell;
+use ndarray::Array;
+use ort::value::Tensor;
+
+use crate::commands::{SlotDefinition, SlotValue};
+use crate::models::gliner::GlinerModel;
+
+static MODEL: OnceCell<Arc<GlinerModel>> = OnceCell::new();
+
+// GLiNER defaults
+const THRESHOLD: f32 = 0.3;
+const MAX_WIDTH: usize = 12;
+const MAX_LENGTH: usize = 512;
+const MIN_CONFIDENCE: f32 = 0.4;
+
+pub fn init_with_model(model: Arc<GlinerModel>) -> Result<(), String> {
+    MODEL.set(model).map_err(|_| "GLiNER model already initialized".to_string())?;
+    info!("GLiNER slot extraction ready");
+    Ok(())
+}
+
+// word splitting
+
+struct WordToken<'a> {
+    start: usize,
+    end: usize,
+    text: &'a str,
+}
+
+fn split_words<'a>(text: &'a str, model: &GlinerModel, limit: Option<usize>) -> Vec<WordToken<'a>> {
+    let mut tokens = Vec::new();
+    for m in model.splitter.find_iter(text) {
+        tokens.push(WordToken {
+            start: m.start(),
+            end: m.end(),
+            text: m.as_str(),
+        });
+        if let Some(lim) = limit {
+            if tokens.len() >= lim { break; }
+        }
+    }
+    tokens
+}
+
+// prompt construction
+//
+// GLiNER prompt format:
+//   [<<ENT>>, label1_w1, label1_w2, <<ENT>>, label2_w1, ..., <<SEP>>, word1, word2, ..., wordN]
+
+fn build_prompt(entities: &[&str], words: &[WordToken]) -> (Vec<String>, usize) {
+    let mut prompt = Vec::with_capacity(entities.len() * 2 + 1 + words.len());
+
+    for entity in entities {
+        prompt.push("<<ENT>>".to_string());
+        prompt.push(entity.to_string());
+    }
+    prompt.push("<<SEP>>".to_string());
+
+    let entities_len = prompt.len();
+
+    for w in words {
+        prompt.push(w.text.to_string());
+    }
+
+    (prompt, entities_len)
+}
+
+// encoding
+
+struct EncodedBatch {
+    input_ids: ndarray::Array2<i64>,
+    attention_masks: ndarray::Array2<i64>,
+    word_masks: ndarray::Array2<i64>,
+    text_lengths: ndarray::Array2<i64>,
+    num_words: usize,
+}
+
+fn encode_single(
+    model: &GlinerModel,
+    entities: &[&str],
+    words: &[WordToken],
+) -> Result<EncodedBatch, String> {
+    let (prompt, ent_len) = build_prompt(entities, words);
+    let text_word_count = words.len();
+
+    let mut word_encodings: Vec<Vec<u32>> = Vec::with_capacity(prompt.len());
+    let mut total_tokens: usize = 2; // BOS + EOS
+    let mut entity_tokens: usize = 0;
+
+    for (pos, word) in prompt.iter().enumerate() {
+        let encoding = model.tokenizer.encode(word.as_str(), false)
+            .map_err(|e| format!("Tokenizer encode error: {}", e))?;
+        let ids = encoding.get_ids().to_vec();
+        total_tokens += ids.len();
+        if pos < ent_len {
+            entity_tokens += ids.len();
+        }
+        word_encodings.push(ids);
+    }
+
+    let text_offset = entity_tokens + 1;
+
+    if log::log_enabled!(log::Level::Debug) {
+        debug!("GLiNER prompt ({} total, ent_len={}, text_offset={}):", prompt.len(), ent_len, text_offset);
+        for (i, (word, enc)) in prompt.iter().zip(word_encodings.iter()).enumerate() {
+            debug!("  [{}]{} '{}' -> {:?}", i, if i < ent_len { " ENT" } else { " TXT" }, word, enc);
+        }
+    }
+
+    let mut input_ids = Array::zeros((1, total_tokens));
+    let mut attention_masks = Array::zeros((1, total_tokens));
+    let mut word_masks = Array::zeros((1, total_tokens));
+
+    let mut idx: usize = 0;
+    let mut word_id: i64 = 0;
+
+    // BOS
+    input_ids[[0, idx]] = 1;
+    attention_masks[[0, idx]] = 1;
+    idx += 1;
+
+    for word_enc in word_encodings.iter() {
+        for (token_idx, &token_id) in word_enc.iter().enumerate() {
+            input_ids[[0, idx]] = token_id as i64;
+            attention_masks[[0, idx]] = 1;
+            if idx >= text_offset && token_idx == 0 {
+                word_masks[[0, idx]] = word_id;
+            }
+            idx += 1;
+        }
+        if idx >= text_offset {
+            word_id += 1;
+        }
+    }
+
+    // EOS
+    input_ids[[0, idx]] = 2;
+    attention_masks[[0, idx]] = 1;
+
+    let mut text_lengths = Array::zeros((1, 1));
+    text_lengths[[0, 0]] = (text_word_count + 1) as i64;
+
+    if log::log_enabled!(log::Level::Debug) {
+        debug!("GLiNER input_ids: {:?}", input_ids.as_slice().unwrap());
+        debug!("GLiNER word_masks: {:?}", word_masks.as_slice().unwrap());
+        debug!("GLiNER text_lengths: {}", text_word_count);
+    }
+
+    Ok(EncodedBatch {
+        input_ids,
+        attention_masks,
+        word_masks,
+        text_lengths,
+        num_words: text_word_count + 1,
+    })
+}
+
+// span tensors
+
+fn make_span_tensors(num_words: usize, max_width: usize) -> (ndarray::Array3<i64>, ndarray::Array2<bool>) {
+    let num_spans = num_words * max_width;
+
+    let mut span_idx = Array::zeros((1, num_spans, 2));
+    let mut span_mask = Array::from_elem((1, num_spans), false);
+
+    for start in 0..num_words {
+        let remaining = num_words - start;
+        let actual_max = max_width.min(remaining);
+        for width in 0..actual_max {
+            let dim = start * max_width + width;
+            span_idx[[0, dim, 0]] = start as i64;
+            span_idx[[0, dim, 1]] = (start + width) as i64;
+            span_mask[[0, dim]] = true;
+        }
+    }
+
+    (span_idx, span_mask)
+}
+
+// decode + greedy search
+
+fn sigmoid(x: f32) -> f32 {
+    1.0 / (1.0 + (-x).exp())
+}
+
+struct Entity {
+    text: String,
+    label: String,
+    prob: f32,
+    start: usize,
+    end: usize,
+}
+
+fn decode_and_search(
+    logits_data: &[f32],
+    logits_shape: &[usize],
+    words: &[WordToken],
+    text: &str,
+    entities: &[&str],
+    max_width: usize,
+    threshold: f32,
+) -> Vec<Entity> {
+    let num_tokens = words.len();
+
+    let dim_mw = logits_shape.get(2).copied().unwrap_or(0);
+    let dim_e = logits_shape.get(3).copied().unwrap_or(0);
+
+    let mut spans: Vec<Entity> = Vec::new();
+
+    for start in 1..=num_tokens {
+        let max_end = (start + max_width).min(num_tokens + 1);
+        for end in start..max_end {
+            let width = end - start;
+            for (class_idx, &entity_label) in entities.iter().enumerate() {
+                let flat_idx = start * dim_mw * dim_e + width * dim_e + class_idx;
+                if flat_idx >= logits_data.len() { continue; }
+
+                let raw_score = logits_data[flat_idx];
+                let prob = sigmoid(raw_score);
+                if prob >= threshold {
+                    let w_start = start - 1;
+                    let w_end = end - 1;
+                    let start_offset = words[w_start].start;
+                    let end_offset = words[w_end].end;
+                    let span_text = text[start_offset..end_offset].to_string();
+                    spans.push(Entity {
+                        text: span_text,
+                        label: entity_label.to_string(),
+                        prob,
+                        start: start_offset,
+                        end: end_offset,
+                    });
+                }
+            }
+        }
+    }
+
+    spans.sort_unstable_by(|a, b| (a.start, a.end).cmp(&(b.start, b.end)));
+    greedy_flat(spans)
+}
+
+// takes ownership, filters in place - no cloning
+fn greedy_flat(mut spans: Vec<Entity>) -> Vec<Entity> {
+    if spans.len() <= 1 {
+        return spans;
+    }
+
+    let mut keep = vec![false; spans.len()];
+    let mut prev = 0usize;
+
+    for next in 1..spans.len() {
+        let no_overlap = spans[next].start >= spans[prev].end
+            || spans[prev].start >= spans[next].end;
+
+        if no_overlap {
+            keep[prev] = true;
+            prev = next;
+        } else if spans[prev].prob < spans[next].prob {
+            prev = next;
+        }
+    }
+    keep[prev] = true;
+
+    let mut idx = 0;
+    spans.retain(|_| { let k = keep[idx]; idx += 1; k });
+    spans
+}
+
+// public extract API
+
+pub fn extract(
+    text: &str,
+    slots: &HashMap<String, SlotDefinition>,
+) -> Result<HashMap<String, SlotValue>, String> {
+    let model = MODEL.get().ok_or("GLiNER not initialized")?;
+
+    let mut label_to_slots: HashMap<&str, Vec<&str>> = HashMap::new();
+    for (slot_name, def) in slots {
+        if !def.entity.is_empty() {
+            label_to_slots
+                .entry(def.entity.as_str())
+                .or_default()
+                .push(slot_name.as_str());
+        }
+    }
+
+    if label_to_slots.is_empty() {
+        return Ok(HashMap::new());
+    }
+
+    let labels: Vec<&str> = label_to_slots.keys().copied().collect();
+
+    debug!("GLiNER extract: text='{}', labels={:?}", text, labels);
+
+    let words = split_words(text, &model, Some(MAX_LENGTH));
+    if words.is_empty() {
+        return Ok(HashMap::new());
+    }
+
+    let encoded = encode_single(&model, &labels, &words)?;
+
+    let (span_idx, span_mask) = make_span_tensors(encoded.num_words, MAX_WIDTH);
+
+    let t_input_ids = Tensor::from_array(encoded.input_ids).map_err(|e| format!("tensor: {}", e))?;
+    let t_attn = Tensor::from_array(encoded.attention_masks).map_err(|e| format!("tensor: {}", e))?;
+    let t_words = Tensor::from_array(encoded.word_masks).map_err(|e| format!("tensor: {}", e))?;
+    let t_lengths = Tensor::from_array(encoded.text_lengths).map_err(|e| format!("tensor: {}", e))?;
+    let t_span_idx = Tensor::from_array(span_idx).map_err(|e| format!("tensor: {}", e))?;
+    let t_span_mask = Tensor::from_array(span_mask).map_err(|e| format!("tensor: {}", e))?;
+
+    let mut session = model.session.lock();
+    let outputs = session.run(
+        ort::inputs! {
+            "input_ids" => t_input_ids,
+            "attention_mask" => t_attn,
+            "words_mask" => t_words,
+            "text_lengths" => t_lengths,
+            "span_idx" => t_span_idx,
+            "span_mask" => t_span_mask,
+        }
+    ).map_err(|e| format!("ort inference error: {}", e))?;
+
+    let (shape, logits_data) = outputs["logits"]
+        .try_extract_tensor::<f32>()
+        .map_err(|e| format!("Failed to extract logits: {}", e))?;
+
+    let logits_shape: Vec<usize> = shape.iter().map(|&d| d as usize).collect();
+
+    // debug dump - gated so sigmoid/loop don't run in release
+    if log::log_enabled!(log::Level::Debug) {
+        debug!("GLiNER logits shape: {:?}, data len: {}", logits_shape, logits_data.len());
+        let max_logit = logits_data.iter().cloned().fold(f32::NEG_INFINITY, f32::max);
+        debug!("GLiNER max logit: {:.4}, sigmoid: {:.4}", max_logit, sigmoid(max_logit));
+
+        let num_words = logits_shape.get(1).copied().unwrap_or(0);
+        let dim_mw = logits_shape.get(2).copied().unwrap_or(0);
+        let dim_e = logits_shape.get(3).copied().unwrap_or(0);
+        for start in 0..num_words {
+            for width in 0..dim_mw.min(num_words - start) {
+                for class_idx in 0..dim_e {
+                    let flat_idx = start * dim_mw * dim_e + width * dim_e + class_idx;
+                    if flat_idx < logits_data.len() {
+                        let score = logits_data[flat_idx];
+                        let prob = sigmoid(score);
+                        if prob > 0.05 {
+                            let end = start + width;
+                            let w_start = if start < words.len() { words[start].text } else { "?" };
+                            let w_end = if end < words.len() { words[end].text } else { "?" };
+                            debug!("  span[{}..{}] '{}'->'{}' label={} score={:.3} prob={:.3}",
+                                start, end, w_start, w_end, labels.get(class_idx).unwrap_or(&"?"), score, prob);
+                        }
+                    }
+                }
+            }
+        }
+    }
+
+    let entities = decode_and_search(
+        logits_data, &logits_shape, &words, text, &labels, MAX_WIDTH, THRESHOLD,
+    );
+
+    let mut result = HashMap::new();
+
+    for entity in &entities {
+        if entity.prob < MIN_CONFIDENCE {
+            continue;
+        }
+
+        debug!("GLiNER entity: '{}' -> '{}' ({:.1}%)",
+            entity.text, entity.label, entity.prob * 100.0);
+
+        if let Some(slot_names) = label_to_slots.get(entity.label.as_str()) {
+            for &slot_name in slot_names {
+                if !result.contains_key(slot_name) {
+                    let value = parse_slot_value(&entity.text);
+                    result.insert(slot_name.to_string(), value);
+                }
+            }
+        }
+    }
+
+    Ok(result)
+}
+
+fn parse_slot_value(text: &str) -> SlotValue {
+    if let Ok(n) = text.parse::<f64>() {
+        return SlotValue::Number(n);
+    }
+    SlotValue::Text(text.to_string())
+}

crates/jarvis-core/src/stt.rs

@@ -0,0 +1,42 @@
+#[cfg(feature = "vosk")]
+mod vosk;
+
+use crate::config;
+use once_cell::sync::OnceCell;
+
+use crate::config::structs::SpeechToTextEngine;
+pub use self::vosk::init_vosk;
+pub use self::vosk::recognize_wake_word;
+pub use self::vosk::recognize_speech;
+pub use self::vosk::reset_speech_recognizer;
+pub use self::vosk::reset_wake_recognizer;
+pub use self::vosk::finalize_speech;
+
+static STT_TYPE: OnceCell<SpeechToTextEngine> = OnceCell::new();
+
+pub fn init() -> Result<(), String> {
+    if STT_TYPE.get().is_some() {
+        return Ok(());
+    }
+
+    STT_TYPE.set(config::DEFAULT_SPEECH_TO_TEXT_ENGINE)
+        .map_err(|_| "STT type already set".to_string())?;
+
+    match STT_TYPE.get().unwrap() {
+        SpeechToTextEngine::Vosk => {
+            info!("Initializing Vosk STT backend.");
+            vosk::init_vosk()?;
+            info!("STT backend initialized.");
+        }
+    }
+
+    Ok(())
+}
+
+pub fn recognize(data: &[i16], include_partial: bool) -> Option<String> {
+    if include_partial {
+        vosk::recognize_wake_word(data).map(|(text, _)| text)
+    } else {
+        vosk::recognize_speech(data)
+    }
+}

crates/jarvis-core/src/stt/vosk.rs

@@ -0,0 +1,156 @@
+use once_cell::sync::OnceCell;
+use vosk::{DecodingState, Recognizer};
+use std::sync::Arc;
+use parking_lot::Mutex;
+
+use crate::{vosk_models, i18n, config, models};
+use crate::models::vosk::VoskModel;
+use crate::DB;
+
+// the model Arc keeps the vosk::Model alive for the recognizers
+static VOSK_MODEL: OnceCell<Arc<VoskModel>> = OnceCell::new();
+static WAKE_RECOGNIZER: OnceCell<Mutex<Recognizer>> = OnceCell::new();
+static SPEECH_RECOGNIZER: OnceCell<Mutex<Recognizer>> = OnceCell::new();
+
+pub fn init_vosk() -> Result<(), String> {
+    if VOSK_MODEL.get().is_some() {
+        return Ok(());
+    }
+
+    let model_path = get_configured_model_path()?;
+    let model_id = format!("vosk:{}", model_path.display());
+
+    // load through registry (shared if anything else needs the same model)
+    let vosk = models::vosk::load(
+        models::registry(),
+        &model_id,
+        model_path.to_str().unwrap(),
+    )?;
+
+    // language-specific wake grammar
+    let lang = i18n::get_language();
+    let wake_grammar = config::get_wake_grammar(&lang);
+    info!("Wake grammar for '{}': {:?}", lang, wake_grammar);
+
+    let mut wake_recognizer = Recognizer::new_with_grammar(&vosk.model, 16000.0, wake_grammar)
+        .ok_or("Failed to create wake word recognizer")?;
+
+    wake_recognizer.set_max_alternatives(1);
+
+    let mut speech_recognizer = Recognizer::new(&vosk.model, 16000.0)
+        .ok_or("Failed to create speech recognizer")?;
+
+    speech_recognizer.set_max_alternatives(config::VOSK_SPEECH_RECOGNIZER_MAX_ALTERNATIVES);
+    speech_recognizer.set_words(config::VOSK_SPEECH_RECOGNIZER_WORDS);
+    speech_recognizer.set_partial_words(config::VOSK_SPEECH_PARTIAL_WORDS);
+
+    VOSK_MODEL.set(vosk).map_err(|_| "Model already set")?;
+    WAKE_RECOGNIZER.set(Mutex::new(wake_recognizer)).map_err(|_| "Wake recognizer already set")?;
+    SPEECH_RECOGNIZER.set(Mutex::new(speech_recognizer)).map_err(|_| "Speech recognizer already set")?;
+
+    Ok(())
+}
+
+
+pub fn recognize_wake_word(data: &[i16]) -> Option<(String, f32)> {
+    let mut recognizer = WAKE_RECOGNIZER.get()?.lock();
+    
+    match recognizer.accept_waveform(data) {
+        Ok(DecodingState::Running) => {
+            None
+        }
+        Ok(DecodingState::Finalized) => {
+            let result = recognizer.result();
+            
+            if let Some(alternatives) = result.multiple() {
+                if let Some(best) = alternatives.alternatives.first() {
+                    if !best.text.is_empty() {
+                        return Some((best.text.to_string(), best.confidence));
+                    }
+                }
+            }
+            
+            None
+        }
+        _ => None,
+    }
+}
+
+
+pub fn recognize_speech(data: &[i16]) -> Option<String> {
+    let mut recognizer = SPEECH_RECOGNIZER.get()?.lock();
+    
+    match recognizer.accept_waveform(data) {
+        Ok(DecodingState::Finalized) => {
+            recognizer.result()
+                .multiple()
+                .and_then(|m| m.alternatives.first().map(|a| a.text.to_string()))
+        }
+        _ => None,
+    }
+}
+
+
+pub fn reset_speech_recognizer() {
+    if let Some(recognizer) = SPEECH_RECOGNIZER.get() {
+        recognizer.lock().reset();
+    }
+}
+
+pub fn finalize_speech() -> Option<String> {
+    let mut recognizer = SPEECH_RECOGNIZER.get()?.lock();
+    let result = recognizer.final_result()
+        .multiple()
+        .and_then(|m| m.alternatives.first().map(|a| a.text.to_string()))
+        .filter(|s| !s.trim().is_empty());
+    recognizer.reset();
+    result
+}
+
+pub fn reset_wake_recognizer() {
+    if let Some(recognizer) = WAKE_RECOGNIZER.get() {
+        recognizer.lock().reset();
+    }
+}
+
+fn get_configured_model_path() -> Result<std::path::PathBuf, String> {
+    // try to get from settings
+    if let Some(db) = DB.get() {
+        let settings = db.read();
+        if !settings.vosk_model.is_empty() {
+            if let Some(path) = vosk_models::get_model_path(&settings.vosk_model) {
+                return Ok(path);
+            }
+            warn!("Configured Vosk model '{}' not found, falling back to auto-detect", settings.vosk_model);
+        }
+    }
+    
+    // auto-detect: prefer model matching current language
+    let available = vosk_models::scan_vosk_models();
+    let language = i18n::get_language();
+
+    let lang_code = match language.as_str() {
+        "ru" => "ru",
+        "en" => "us",
+        "ua" => "uk",
+        other => other,
+    };
+
+    if let Some(matched) = available.iter().find(|m| m.language == lang_code) {
+        info!("Auto-detected Vosk model for '{}': {}", language, matched.name);
+        return Ok(matched.path.clone());
+    }
+
+    if let Some(first) = available.first() {
+        info!("Auto-detected Vosk model (no language match): {}", first.name);
+        return Ok(first.path.clone());
+    }
+    
+    // fallback to legacy path
+    let legacy_path = std::path::Path::new(config::VOSK_MODEL_PATH);
+    if legacy_path.exists() {
+        return Ok(legacy_path.to_path_buf());
+    }
+    
+    Err("No Vosk models found".into())
+}

crates/jarvis-core/src/time.rs

@@ -0,0 +1,2 @@
+pub mod structs;
+pub use structs::*;

crates/jarvis-core/src/time/structs.rs

@@ -0,0 +1,21 @@
+use chrono::Timelike;
+
+#[derive(Debug, Clone, Copy)]
+pub enum TimeOfDay {
+    Morning,  // 5:00 - 11:59
+    Day,      // 12:00 - 16:59
+    Evening,  // 17:00 - 21:59
+    Night,    // 22:00 - 4:59
+}
+
+impl TimeOfDay {
+    pub fn now() -> Self {
+        let hour = chrono::Local::now().hour();
+        match hour {
+            5..=11 => TimeOfDay::Morning,
+            12..=16 => TimeOfDay::Day,
+            17..=21 => TimeOfDay::Evening,
+            _ => TimeOfDay::Night,
+        }
+    }
+}